i-manager Publications

i-manager's Journal on Instrumentation and Control Engineering (JIC)

Current Issue Vol. 12 Issue 1

Most Cited

Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models

Volume 8 Issue 1 January - June 2020

Research Paper

Energy Monitoring and Controlling System using Microcontroller and GSM Technology

Kadiri Kamoru Oluwatoyin * , Enem Theophilus Aniemeka , Agboola Mutiu*

* Department of Electrical and Electronic Engineering, Federal Polytechnic, Offa Kwara state, Nigeria.

Department of Computer Science, Air Force Institute of Technology, Nigerian Air Force Base, Kaduna, Nigeria.

* Department of Electrical and Electronic Engineering, Federal Polytechnic, Ede, Osun State, Nigeria.

Oluwatoyin, K. K., Aniemeka, E. T., and Mutiu, A. (2020). Energy Monitoring and Controlling System using Microcontroller and GSM Technology. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 1-6. https://doi.org/10.26634/jic.8.1.17268

Abstract

This research work provides an energy meter prepayment to enable estimation of energy use and to recognize the maximum market demand. The Proteus 8 device application illustrates the prepaid energy meter principle. The key elements are AVR, Voltage and Current, LCD and Relay and Power. The key sections are AVR. Electricity has been one of the most essential human needs, and is widely used for domestic, manufacturing, and agricultural. Today's carbon payment program requires effort and money. This research work explains how the energy meter device is included in the prepaid. Having this device would help the user in terms of power consumption. It is easy to run and economical. The prepayment method often profits from substantially reducing human mistakes when calculating readings and recording information. This will make available a fully designed and constructed Energy Meter based on Global System for Mobile communication (GSM) technology to the Electricity Companies in Nigeria. The functionalities provided by the GSMBased Prepaid energy meter, will provide accurate consumption of power calculation of electricity by the consumers, automation of the billing system in Nigeria. This will enhance efficient use of electricity by customers and easy recharge of such meters.

References

[1]. Farhangi, H. (2009). The path of the smart grid. IEEE Power and Energy Magazine, 8(1), 18-28. https://doi.org/ 10.1109/MPE.2009.934876

[2]. Jain, A., & Bagree, M. (2011). A prepaid meter using mobile communication. International Journal of Engineering Science and Technology, 3(3), 160-166.

[3]. Khiyal, M. S. H., Khan, A., & Shehzadi, E. (2009). SMS based wireless home appliance control system (HACS) for automating appliances and security. Issues in Informing Science & Information Technology, 6, 887-894.

[4]. Koay, B. S., Cheah, S. S., Sng, Y. H., Chong, P. H. J., Shum, P., Tong, Y. C., ... & Kuek, H. W. (2003, December). Design and implementation of Bluetooth energy meter. In Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint (Vol. 3, pp. 1474-1477). IEEE. https://doi.org/10.1109/ICICS.2003. 1292711

[5]. Luan, S. W., Teng, J. H., Chan, S. Y., & Hwang, L. C. (2009, November). Development of a smart power meter for AMI based on ZigBee communication. In 2009, International Conference on Power Electronics and Drive Systems (PEDS) (pp. 661-665). IEEE. https://doi.org/10.110 9/PEDS.2009.5385726

[6]. Maheswari, C., Jeyanthi, R., Krishnamurthy, K., & Sivakumar, M. (2009). Implementation of energy management structure for street lighting systems. Modern Applied Science, 3(6), 30-37. https://doi.org/10. 5539/mas.v3n6p30

[7]. Nwaoko, K. J. (2006). Electrical Energy Accounting Methods. Lagos: Impressed Publishers.

[8]. Scaradozzi, D., & Conte, G. (2003). Viewing home automat ion systems as multiple agents systems. RoboCUP2003, Padova, Italy. Retrieved from https://www. researchgate.net/profile/David_Scaradozzi/publication/ 238661364_Viewing_Home_Automation_Systems_as_M ultiple_Agents_Systems/links/0a85e532089a401a1c000 000/Viewing-Home-Automation-Systems-as-Multiple- Agents-Systems.pdf

[9]. Sheikh, S. S., & Sharma, S. (2011). Design and implementation of wireless automatic meter reading system. International Journal of Engineering Science and Technology (IJEST), 3(3), 2329-2334.

[10]. Stanescu, D., Ciubotaru-Petrescu, B., Chiciudean, D., & Cioarga, R. (2006). Wireless Solutions for Telemetry in rd Civil Equipment and Infrastructure Monitoring. In 3 Romanian-Hungarian Joint Symposium on Applied Computational Intelligence (SACI).

[11]. Zhang, J., Oghanna, W., & Bai, C. L. (1998, October). A DSP based electricity meter with remote reading. In ICSP'98, Fourth International Conference on Signal Processing (Cat. No. 98TH8344) (Vol. 2, pp. 1581- 1584). IEEE. https://doi.org/10.1109/ICOSP.1998.770928

[12]. Zhou, L., Xu, F. Y., & Ma, Y. N. (2010, July). Impact of smart metering on energy efficiency. In 2010, International Conference on Machine Learning and Cybernetics (Vol. 6, pp. 3213-3218). IEEE. https://doi.org/ 10.1109/ICMLC.2010.5580715

Full Article (HTML)

Pdf

Research Paper

Solar Powered Evaporative Air Cooler: A Study on Effects of Configurations on Water Consumption

Shuaibu Ishaka Mohammad* , Ahmad Uba , Hassan Yahya Nawawi *, Mu'azu Musa ****

* Department of Chemistry and Energy Studies, Usmanu Danfodiyo University, Sokoto, Nigeria.

Department of Pharmaceutical Chemistry, Usmanu Danfodiyo University, Sokoto, Nigeria.

* Department of Electrical/Electronic Engineering, Usmanu Danfodiyo University, Sokoto, Nigeria.

**** Department of Mechanical Engineering, Usmanu Danfodiyo University, Sokoto, Nigeria.

Mohammad, S. I., Uba, A., Nawawi, H. Y., and Musa, M. (2020). Solar Powered Evaporative Air Cooler: A Study on Effects of Configurations on Water Consumption. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 7-13. https://doi.org/10.26634/jic.8.1.16859

Abstract

Water consumption of a solar powered evaporative air cooler constructed using locally available materials such as galvanized iron, thin wooden strips, car radiator fan and submersible water pump of low power types has been 3 experimentally investigated while cooling a room space of approximately a volume of 43.5 m . Test results on the cooler 3 configurations indicated the water consumption ranging from 6400-14400 cm , the period it takes to refill the water tank ranging from 10-22.5 hours, temperature drop ranging from 4.6-7.2 °C while the cooling effectiveness calculated has been between 35.4%-97.3%. In this work, humidity and temperature control unit has been integrated to control water supply thereby regulating the humidity level of the room space while cooling. This system consumes 0.05 kWh of energy for 6 hours of operation as against 6.75 kWh energy consumption of a 1.5 HP AC. This technology is efficient in improving the indoor air quality and it is suitable for cooling application in villages, and other remote areas where there is no grid extension.

References

[1]. Delfani, S., Esmaeelian, J., Pasdarshahri, H., & Karami, M. (2010). Energy saving potential of an indirect evaporative cooler as a pre-cooling unit for mechanical cooling systems in Iran. Energy and Buildings, 42(11), 2169- 2176. https://doi.org/10.1016/j.enbuild.2010.07.009

[2]. Dodoo, A., Gustavsson, L., & Sathre, R. (2011). Building energy-efficiency standards in a life cycle primary energy perspective. Energy and Buildings, 43(7), 1589-1597. https://doi.org/10.1016/j.enbuild.2011.03.002

[3]. Eaton, E., Sanchez, J., Stone, L., & Weis, C. (2007). Photovoltaics–Design and Installation Manual. Solar Energy International.

[4]. Effatnejad, R., & Salehian, A. B. (2009). Standard of energy consumption and energy labeling in evaporative air cooler in Iran. International Journal on Technical and Physical Problems of Engineering (IJTPE) Transaction on Power Engineering, 1(1), 54-57.

[5]. Elmetenani, S., Yousfi, M. L., Merabeti, L., Belgroun, Z., & Chikouche, A. (2011). Investigation of an evaporative air cooler using solar energy under Algerian climate. Energy Procedia, 6, 573-582. https://doi.org/10.1016/j. egypro.2011.05.066

[6]. Finocchiaro, P., Beccali, M., & Nocke, B. (2012). Advanced solar assisted desiccant and evaporative cooling system equipped with wet heat exchangers. Solar Energy, 86(1), 608-618. https://doi.org/10.1016/j. solener.2011.11.003

[7]. Gorle, W., Khelkar, A. R., Bhoyar, A. S., & Muley, A. S. (2016). Solar powered evaporative air cooler with cooling cabin for household food items. IOSR Journal of Mechanical and Civil Engineering (IOSRJMCE), 13(2), 53-56.

[8]. Harris, N. C. (1987). Modern air conditioning practice rd (3 ed.,) ( pp. 57-61). New York: McGrawHill.

[9]. Heidarinejad, G., Khalajzadeh, V., & Delfani, S. (2010). Performance analysis of a ground-assisted direct evaporative cooling air conditioner. Building and Environment, 45(11), 2421-2429. https://doi.org/10.1016/ j.buildenv.2010.05.009

[10]. Jaber, S., & Ajib, S. (2011). Evaporative cooling as an efficient system in Mediterranean region. Applied Thermal Engineering, 31(14-15), 2590-2596. https://doi. org/10.1016/j.applthermaleng.2011.04.026

[11]. Joudi, K. A., & Mehdi, S. M. (2000). Application of indirect evaporative cooling to variable domestic cooling load. Energy Conversion and Management, 41(17), 1931-1951. https://doi.org/10.1016/S0196-8904 (00)00004-2

[12]. Khurmi, R. S., & Gupta, J. K. (2006). A Textbook of refrigeration and air conditioning (1^st ed., pp. 320-431). New Delhi: Eurasia Publishers.

[13]. Khurmi, R. S., & Gupta, J. K. (2008). A textbook of machine design (16^th ed., pp.421-576). New Delhi: S.Chand Publishers.

[14]. Kim, M. H., Choi, A. S., & Jeong, J. W. (2012). Energy performance of an evaporative cooler assisted 100% outdoor air system in the heating season operation. Energy and Buildings, 49, 402-409. https://doi.org/10. 1016/j.enbuild.2012.02.036

[15]. Krüger, E., Cruz, E. G., & Givoni, B. (2010). Effectiveness of indirect evaporative cooling and thermal mass in a hot arid climate. Building and Environment, 45(6), 1422-1433. https://doi.org/10.1016/j.buildenv. 2009.12.005

[16]. Shuaibu, I. M., Musa, M., Nawawi, H. Y., Uba, A., Mohammad, A., & Adamu, S. S. (2019). Design, construction and performance comparison of indoor and outdoor configuration of a solar powered evaporative air cooler. Conbatoir Institute of Information Technology (CiiT) Programmable Device Circuits and Systems, 11(6), 89-99.

[17]. Shuaibu, I. M., Musa, M., Nawawi, H. Y., Uba, A., Mohammad, A., Adamu, S. S., & Peni, I. T. (2019). Design and construction of a solar powered evaporative air cooler. Global Scientific Journal (GSJ), 7(6), 930-937.

[18]. Thakur, B. C. & Dhingra, D. P. (1983). Parameters influencing the saturation efficiency of an evaporative rusten cooler. University of Glasgow College of Agriculture Bulletin (pp. 9-19).

[19]. Wu, J. M., Huang, X., & Zhang, H. (2009). Numerical investigation on the heat and mass transfer in a direct evaporative cooler. Applied Thermal Engineering, 29(1), 195-201. https://doi.org/10.1016/j.applthermaleng.200 8.02.018

[20]. Zakari, M. D., Abubakar, Y. S., Muhammad, Y. B., Shanono, N. J., Nasidi, N. M., Abubakar, M. S., ... Ahmad, R. K. (2006). Design and construction of an evaporative cooling system for the storage of fresh tomato. ARPN Journal of Engineering and Applied Sciences, 11(4), 2340-2348.

Full Article (HTML)

Pdf

Research Paper

Four Quadrant Operation of BLDC Motor for Electric Hybrid Vehicles

B. Mahesh Babu*

Department of Electrical and Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India.

Babu, B. M. (2020). Four Quadrant Operation of BLDC Motor for Electric Hybrid Vehicles. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 14-21. https://doi.org/10.26634/jic.8.1.17613

Abstract

Due to overall performance regarding high power density and simple control, Brushless DC (BLDC) motors are broadly used in speed drive applications. The torque of BLDC motors is steady under ideal conditions. With the advent of BLDC motors, high speed automobile industry is booming day by day. Here, a converter topology is proposed for four quadrant operation of BLDC drive. The motion operation is carried out by conventional emf injection method; while the braking operation is conceded by regenerative braking. The present work focuses on multi quadrant operation and tuning the performance of BLDC drive. The simulation studies with regenerative braking mechanisms employing BLDC drive shows better adaptability to the electric hybrid vehicles. The MATLAB SIMULINK simulation results show the performance of the proposed methodology. The corresponding prototype modeling is also presented here with electric hybrid vehicle.

References

[1]. Awaze, S. K. (2013, September). Four quadrant operation of BLDC motor in MATLAB/SIMULINK. In 2013, 5^th International Conference and Computational Intelligence and Communication Networks (pp. 569- 573). IEEE. https://doi.org/10.1109/CICN.2013.124

[2]. Bist, V., & Singh, B. (2014). PFC Cuk converter-fed BLDC motor drive. IEEE Transactions on Power Electronics, 30(2), 871-887. https://doi.org/org/10.1109/tpel.2014.2309706

[3]. Chu, J. U., Moon, I. H., Choi, G. W., Ryu, J. C., & Mun, M. S. (2004, June). Design of BLDC motor controller for electric power wheelchair. In Proceedings of the IEEE International Conference on Mechatronics, 2004.

ICM'04 (pp. 92-7e). IEEE. https://doi.org/10.1109/icmech. 2004.1364418

[4]. Joice, C. S., Paranjothi, S. R., & Kumar, J. S. (2011, December). Practical implementation of four quadrant operation of three phase Brushless DC motor using dsPIC. In 2011, International Conference on Recent Advancements in Electrical, Electronics And Control Engineering (pp. 91-94). IEEE. https://doi.org/10.1109/ ICONRAEeCE.2011.6129762

[5]. Joice, C. S., Paranjothi, S. R., & Kumar, V. J. S. (2012). Digital control strategy for four quadrant operation of three phase BLDC motor with load variations. IEEE Transactions on Industrial Informatics, 9(2), 974-982. https://doi.org/10.1109/tii.2012.2221721

[6]. Vinatha, U., Pola, S., & Vittal, K. P. (2008, November). Simulation of four quadrant operation & speed control of BLDC motor on MATLAB/SIMULINK. In TENCON 2008-2008 IEEE Region 10 Conference (pp. 1-6). IEEE. https://doi.org/ 10.1109/TENCON.2008.4766449

Full Article (HTML)

Pdf

Research Paper

Design and Analysis of a High Speed Hybrid Automotive Composite Propeller Shaft using Ansys 18.1

Abhishek Patel* , Shabana Naz Siddique**

*-** Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Bhilai, India.

Patel, A., and Siddique, S. N. (2020). Design and Analysis of a High Speed Hybrid Automotive Composite Propeller Shaft using Ansys 18.1. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 22-27. https://doi.org/10.26634/jic.8.1.17509

Abstract

Substituting composite structures for conventional metallic structures has many advantages because of strength to weight ratio. Laminated composites, with their advantage of higher specific stiffness, gained substantiality in the field of torque carrying structures through many applications. Composite drive shafts has the ability of being the lighter and longer life drive train with higher critical speed. This work aim stop provide an alternative of conventional steel drive shaft for an automotive application and investigates for different combinations of composite materials and different stacking sequence opposite torque directional so determine the natural frequency of composite drive shaft with the help of ANSYS 18.1.

References

[1]. Abrate, S. (1994). Optimal design of laminated plates and shells. Composite Structures, 29(3), 269-286. https:// doi.org/10.1016/0263-8223(94)90024-8

[2]. Arab, S. B., Rodrigues, J. D., Bouaziz, S., & Haddar, M. (2017). A finite element based on Equivalent Single Layer Theory for rotating composite shafts dynamic analysis. Composite Structures, 178, 135-144. https://doi.org/10. 1016/j.compstruct.2017.06.052

[3]. Badie, M. A., Mahdi, A., Abutalib, A. R., Abdullah, E. J., & Yonus, R. (2006). Automotive composite drives hafts: investigation of the design variables effects. International Journal of Engineering and Technology, 3(2), 227-237.

[4]. Badie, M. A., Mahdi, E., & Hamouda, A. M. S. (2011). An investigation into hybrid carbon/glass fiber reinforced epoxy composite automotive drive shaft. Materials & Design, 32(3), 1485-1500.

[5]. Bert, C. W., & Reddy, V. S. (1982). Cylindrical shells of bimodulus composite materials. Journal of the Engineering Mechanics Division, 108(5), 675-688.

[6]. Dinesh, D., & Raju, A. F. (2012). Optimum design and analysis of a composite drive shaft for an automobile by using genetic algorithm and ansys. International Journal of Engineering Research and Applications, 2(4), 1874- 1880.

[7]. Hu, Y., Yang, M., Zhang, J., Song, C., & Zhang, W. (2015). Research on torsional capacity of composite drive shaft under clockwise and counter-clockwise torque. Advances in Mechanical Engineering. 7(4). https://doi.org/10.1177/1687814015582109

[8]. Kim, H. S., Kim, J. W., & Kim, J. K. (2004). Design and manufacture of an automotive hybrid aluminum/composite drive shaft. Composite Structures, 63(1), 87-99. https://doi. org/10.1016/S0263-8223(03)00136-3

[9]. Kim, J. K., Lee, D. G., & Cho, D. H. (2001). Investigation of adhesively bonded joints for composite propeller shafts. Journal of Composite Materials, 35(11), 999-1021.

[10]. Mutasher, S. A. (2009). Prediction of the torsional strength of the hybrid aluminum/composite drive shaft. Materials & Design, 30(2), 215-220.

[11]. Prasad, K., & Aiswarya, S. (2016). Finite element modelling and buckling analysis of delaminated composite plates. International Journal of Science and Research, 5(7), 1193-1195.

[12]. Rajendran, S., & Song, D. Q. (1998, November). Finite element modelling of delamination buckling of nd composite panel using ANSYS. In Proceedings of the 2 Asian ANSYS User Conference.

[13]. Rao, B. J. P., Srikanth, D. V., Kumar, T. S., & Rao, L. S. (2016). Design and analysis of automotive composite propeller shaft using FEA. Materials Today: Proceedings, 3(10), 3673-3679. https://doi.org/10.1016/j.matpr.2016. 11.012

[14]. Reddy, P. S. K., & Nagaraju, C. (2017). Weight optimization and finite element analysis of composite automotive drive shaft for maximum stiffness. Materials Today: Proceedings, 4(2), 2390-2396.

[15]. Sevkat, E., & Tumer, H. (2013). Residual torsional properties of composite shafts subjected to impact loadings. Materials & Design, 51, 956-967. https://doi.org/ 10.1016/j.matdes.2013.05.004

[16]. Talib, A. A., Ali, A., Badie, M. A., Lah, N. A. C., & Golestaneh, A. F. (2010). Developing a hybrid, carbon/glass fiber-reinforced, epoxy composite automotive drive shaft. Materials & Design, 31(1), 514- 521. https://doi.org/10.1016/j.matdes.2009.06.015

[17]. Tariq, M., Nisar, S., Shah, A., Akbar, S., Khan, M. A., & Khan, S. Z. (2018). Effect of hybrid reinforcement on the performance of filament wound hollow shaft. Composite Structures, 184, 378-387. https://doi.org/10.1016/j.comp

Full Article (HTML)

Pdf

Review Paper

Condition Monitoring of Permanent Magnet Synchronous Motor- A Review

Purnima Singh* , Pradeep Kumar Gupta, Irshad Ahmad Mir, Tariq Ahmad Ganie, Khadim Moin Siddiqui

-,, Department of Electrical Engineering, BBDITM, Lucknow.

* Department of Electrical & Electronics Engineering, BBDITM, Lucknow.

Singh, P., Gupta, P. K., Mir, I. A., Ganie, T. A., and Siddiqui, K. M. (2020). Condition Monitoring of Permanent Magnet Synchronous Motor- A Review i-manager's Journal on Instrumentation and Control Engineering, 8(1), 28-43. https://doi.org/10.26634/jic.8.1.17698

Abstract

In the present, Permanent Magnet Synchronous Motors (PMSMs) are extensively used in many industrial applications due to its advantages over conventional synchronous motor. In the PMSM, the rotor is made of a special-shaped rare- earth permanent magnet instead of the field windings. This motor has some certain advantages such as simple structure, small size, light weight and large overload capacity. Therefore, this motor becomes compact and efficient with high dynamic performance. However these motors failed during operation and consequently large revenue losses for industries. Hence, it is essential to diagnose these faults before occurring for protection of any industrial plant. Therefore, Condition Monitoring of PMSMs are extremely studied in the past and also essential for safe guarding of an industrial plant. In the past, PMSMs faults have been analyzed and diagnosed with help of many Condition Monitoring techniques. In this paper, a comprehensive review has been done for PMSM faults and their diagnostics techniques.

References

[1]. Aharon, M., Elad, M., & Bruckstein, A. (2006). K-SVD: An algorithm for designing over complete dictionaries for sparse representation. IEEE Transactions on signal processing, 54(11), 4311-4322. https://doi.org/10.1109/ TSP.2006.881199

[2]. Alameh, K., Cité, N., Hoblos, G., & Barakat, G. (2015, April). Feature extraction for vibration-based fault detection in Permanent Magnet Synchronous Motors. In 2015, Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) (pp. 163-168). IEEE. https://doi.org/ 10.1109/TAEECE.2015.7113620

[3]. Cabal-Yepez, E., Garcia-Ramirez, A. G., Romero- Troncoso, R. J., Garcia-Perez, A., & Osornio-Rios, R. A. (2012). Reconfigurable monitoring system for timefrequency analysis on industrial equipment through STFT and DWT. IEEE Transactions on Industrial Informatics, 9(2), 760-771. https://doi.org/10.1109/TII.2012.2221131

[4]. Chen, F., Tang, B., & Chen, R. (2013). A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm. Measurement, 46(1), 220-232. https://doi.org/10.1016/j. measurement.2012.06.009

[5]. Chen, Z., & Li, W. (2017). Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network. IEEE Transactions on Instrumentation and Measurement, 66(7), 1693-1702. https://doi.org/10. 1109/TIM.2017.2669947

[6]. Chen, Z., & Li, W. (2017). Multisensor feature fusion for bearing fault diagnosis using sparse auto encoder and Deep Belief Network. IEEE Transaction, Instrumentation and Measurement. 66, 1693–1702.

[7]. Cheng, M., Chau, K. T., Chan, C. C., Zhou, E., & Huang, X. (2000). Nonlinear varying-network magnetic circuit analysis for doubly salient permanent-magnet motors. IEEE Transactions on Magnetics, 36(1), 339-348. https://doi.org/10.1109/20.822544

[8]. Çira, F., Arkan, M., & Gümüş, B. (2015, September). A new approach to detect stator fault in permanent magnet synchronous motors. In 2015, IEEE 10^th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) (pp. 316-321). IEEE. https://doi.org/10.1109/DEMPED.2015.73 03708

[9]. Cira, F., Arkan, M., Gümüş, B., & Goktas, T. (2016, October). Analysis of stator inter-turn short-circuit fault signatures for inverter-fed permanent magnet synchronous motors. In IECON 2016-42^nd Annual Conference of the IEEE Industrial Electronics Society (pp. 1453-1457). IEEE.

[10]. Dou, R., Song, F., Liu, H., & Men, X. (2018, October). Demagnetization quantification of pmsm based on support vector regression. In 2018, Prognostics and System Health Management Conference (PHMChongqing) (pp. 619-623). IEEE. https://doi.org/10.1109/ PHM-Chongqing.2018.00111

[11]. Ebrahimi, B. M., Faiz, J., Javan-Roshtkhari, M., & Nejhad, A. Z. (2008). Static eccentricity fault diagnosis in permanent magnet synchronous motor using time stepping finite element method. IEEE Transactions on Magnetics, 44(11), 4297-4300. https://doi.org/10.1109/ TMAG.2008.2001534

[12]. Ebrahimi, B. M., Roshtkhari, M. J., Faiz, J., & Khatami, S. V. (2013). Advanced eccentricity fault recognition in permanent magnet synchronous motors using stator current signature analysis. IEEE Transactions on Industrial Electronics, 61(4), 2041-2052. https://doi.org/10.1109/ TIE.2013.2263777

[13]. Elbouchikhi, E., Choqueuse, V., Auger, F., & Benbouzid, M. E. H. (2017). Motor current signal analysis based on a matched subspace detector. IEEE Transactions on Instrumentation and Measurement, 66(12), 3260-3270. https://doi.org/10.1109/TIM.2017.27 49858

[14]. Espinosa, A. G., Rosero, J. A., Cusido, J., Romeral, L., & Ortega, J. A. (2010). Fault detection by means of Hilbert–Huang transform of the stator current in a PMSM with demagnetization. IEEE Transactions on Energy Conversion, 25(2), 312-318. https://doi.org/10.1109/TEC. 2009.2037922

[15]. Faiz, J., & Exiri, S. A. H. (2015, September). Shortcircuit fault diagnosis in permanent magnet synchronous motors-an overview. In 2015, Intl Aegean Conference on Electrical Machines & Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Electrical & Electronic Equipment (OPTIM) & 2015 Intl Symposium on Advanced Electromechanical Motion Systems (ELECTROMOTION) (pp. 18-27). IEEE. https://doi.org/10.1109/OPTIM.2015.74 27038

[16]. Faiz, J., Ghorbanian, V., & Ebrahimi, B. M. (2012, December). A new criterion for rotor broken bar fault diagnosis in line-start and inverter-fed induction motors using Hilbert-Huang transform. In 2012, IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) (pp. 1-6). IEEE. https://doi.org/10.1109/ PEDES.2012.6484397

[17]. Faiz, J., Nejadi-Koti, H., & Exiri, A. H. (2017). Inductance-based inter-turn fault detection in permanent magnet synchronous machine using magnetic equivalent circuit model. Electric Power Components and Systems, 45(9), 1016-1030.

[18]. Faiz, J., Nejadi-Koti, H., & Exiri, A. H. (2017). Inductance-based inter-turn fault detection in permanent magnet synchronous machine using magnetic equivalent circuit model. Electric Power Components and Systems, 45(9), 1016-1030. https://doi. org/10.1080/15325008.2017.1293196

[19]. Filippetti, F., Franceschini, G., Tassoni, C., & Vas, P. (2000). Recent developments of induction motor drives fault diagnosis using AI techniques. IEEE Transactions on Industrial Electronics, 47(5), 994-1004. https://doi.org/10. 1109/41.873207

[20]. Fitouri, M., BenSalem, Y., & Abdelkrim, M. N. (2016, March). Analysis and co-simulation of permanent magnet sychronous motor with short-circuit fault by finite th element method. In 2016, 13 International Multi- Conference on Systems, Signals & Devices (SSD) (pp. 472- 477). IEEE. https://doi.org/10.1109/SSD.2016.7473721

[21]. Goktas, T., Zafarani, M., & Akin, B. (2015, May). Separation of broken magnet and static eccentricity failures in PMSM. In 2015, IEEE International Electric Machines & Drives Conference (IEMDC) (pp. 1459-1465). IEEE. https://doi.org/10.1109/IEMDC.2015.7409254

[22]. Gritli, Y., Rossi, C., Casadei, D., Zarri, L., & Filippetti, F. (2012, September). Demagnetizations diagnosis for permanent magnet synchronous motors based on advanced wavelet analysis. In 2012, XX^th International Conference on Electrical Machines (pp. 2397-2403). IEEE. https://doi.org/10.1109/ICElMach.2012.6350219

[23]. Guefack, F. L. T., Kiselev, A., & Kuznietsov, A. (2018, June). Improved detection of inter-turn short circuit faults in PMSM drives using principal component analysis. In 2018, International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (pp. 154-159). IEEE. https://doi.org/10.1109/SPEEDAM.2018. 8445403

[24]. Haddad, R. Z., & Strangas, E. G. (2016). On the accuracy of fault detection and separation in permanent magnet synchronous machines using MCSA/MVSA and LDA. IEEE Transactions on Energy Conversion, 31(3), 924- 934. https://doi.org/10.1109/TEC.2016.2558183

[25]. Hang, J., Ding, S., Zhang, J., Cheng, M., Chen, W., & Wang, Q. (2016). Detection of interturn short-circuit fault for PMSM with simple fault indicator. IEEE Transactions on Energy Conversion, 31(4), 1697-1699. https://doi.org/10. 1109/TEC.2016.2583780

[26]. Hang, J., Zhang, J., & Cheng, M. (2016). Detection and discrimination of open phase fault in permanent magnet synchronous motor drive system. IEEE Transaction & Power Electronics, 31, 4697–4709.

[27]. Hassani, H., Zarei, J., Arefi, M. M., & Razavi-Far, R. (2017). zSlices-based general type-2 fuzzy fusion of support vector machines with application to bearing fault detection. IEEE Transactions on Industrial Electronics, 64(9), 7210-7217. https://doi.org/10.1109/TIE.2017.268 8963

[28]. Hou, J., Wang, Y., Gao, T., & Yang, Y. (2016, September). Fault feature extraction of power electronic circuits based on sparse decomposition. In 2016, International Conference on Condition Monitoring and Diagnosis (CMD) (pp. 505-508). IEEE. https://doi.org/10. 1109/CMD.2016.7757872

[29]. Immovilli, F., Bianchini, C., Cocconcelli, M., Bellini, A., & Rubini, R. (2012). Bearing fault model for induction motor with externally induced vibration. IEEE Transactions on Industrial Electronics, 60(8), 3408-3418. https://doi. org/10.1109/TIE.2012.2213566

[30]. Ince, T., Kiranyaz, S., Eren, L., Askar, M., & Gabbouj, M. (2016). Real-time motor fault detection by 1-D convolutional neural networks. IEEE Transactions on Industrial Electronics, 63(11), 7067-7075. https://doi.org/ 10.1109/TIE.2016.2582729

[31]. Ishikawa, T., Seki, Y., & Kurita, N. (2013). Analysis for fault detection of vector-controlled permanent magnet synchronous motor with permanent magnet defect. IEEE Transactions on Magnetics, 49(5), 2331-2334. https://doi. org/10.1109/TMAG.2013.2243135

[32]. Jiangting, L. I. U., Kaifeng, Z. H. O. U., & Yue, H. U. (2018, September). EMD-WVD method based highfrequency current analysis of low voltage arc. In 2018, Condition Monitoring and Diagnosis (CMD) (pp. 1-5). IEEE. https://doi.org/10.1109/CMD.2018.8535969

[33]. Jokic, S., Cincar, N., & Novakovic, B. (2018, March). The analysis of vibration measurement and current signature in motor drive faults detection. In 2018, 17^th International Symposium Infoteh-Jahorina (INFOTEH) (pp. 1- 6). IEEE. https://doi.org/10.1109/INFOTEH.2018.8345531

[34]. Kalimov, A., & Shimansky, S. (2015). Optimal design of the synchronous motor with the permanent magnets on the rotor surface. IEEE Transactions on Magnetics, 51(3), 1-4. https://doi.org/10.1109/TMAG.2014.2362961

[35]. Kao, I. H., Wang, W. J., Lai, Y. H., & Perng, J. W. (2018). Analysis of permanent magnet synchronous motor fault diagnosis based on learning. IEEE Transactions on Instrumentation and Measurement, 68(2), 310-324. https://doi.org/10.1109/TIM.2018.2847800

[36]. Karami, M., Mariun, N., Mehrjou, M. R., AbKadir, M. Z. A., Misron, N., & Radzi, M. A. M. (2014, December). Diagnosis of static eccentricity fault in line start permanent magnet synchronous motor. In 2014, IEEE International Conference on Power and Energy (PECon) (pp. 83-86). IEEE.

[37]. Khan, M. S., Okonkwo, U. V., Usman, A., & Rajpurohit, B. S. (2018, August). Finite element modeling of demagnetization fault in permanent magnet direct current motors. In 2018, IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. https://doi.org/ 10.1109/PESGM.2018.8586622

[38]. Kim, K. C., Lim, S. B., Koo, D. H., & Lee, J. (2006). The shape design of permanent magnet for permanent magnet synchronous motor considering partial demagnetization. IEEE Transactions on Magnetics, 42(10), 3485-3487.

[39]. Kim, K. H. (2010). Simple online fault detecting scheme for short-circuited turn in a PMSM through current harmonic monitoring. IEEE Transactions on Industrial Electronics, 58(6), 2565-2568.

[40]. Li, H., & Zhang, Y. (2006, June). Bearing faults diagnosis based on EMD and Wigner-Ville distribution. In 2006, 6^th World Congress on Intelligent Control and Automation (Vol. 2, pp. 5447-5451). IEEE. https://doi.org/ 10.1109/WCICA.2006.1714113

[41]. Li, Y., & Liang, Y. (2015, August). A comparative study on inter-tern short circuit fault of PMSM using finite element analysis and experiment. In 2015, International Conference on Advanced Mechatronic Systems (ICAMechS) (pp. 290-294). IEEE. https://doi.org/10.1109/ ICAMechS.2015.7287076

[42]. Liang, H., Chen, Y., Liang, S., & Wang, C. (2018). Fault detection of stator inter-turn short-circuit in PMSM on stator current and vibration signal. Applied Sciences, 8(9), 1677. https://doi.org/10.3390/app8091677

[43]. Liang, S., Chen, Y., Liang, H., Li, X. Sparse Representation and SVM Diagnosis Method for Inter-Turn Short-Circuit Fault in PMSM. Applied Sciences, 2019, 9(2), 224. https://doi.org/10.3390/app9020224

[44]. Liang, Y. (2014, February). Diagnosis of inter-turn short-circuit stator winding fault in PMSM based on stator current and noise. In 2014, IEEE International Conference on Industrial Technology (ICIT) (pp. 138-142). IEEE. https:// doi.org/10.1109/ICIT.2014.6894927

[45]. Lu, C., Wang, Y., Ragulskis, M., & Cheng, Y. (2016). Fault diagnosis for rotating machinery: A method based on image processing. PloS one, 11(10). https://doi.org/ 10.1371/journal.pone.0164111

[46]. Luo, Y., Qiu, J., & Shi, C. (2018, October). Fault Detection of permanent magnet synchronous motor st based on deep learning method. In 2018, 21 International Conference on Electrical Machines and Systems (ICEMS) (pp. 699-703). IEEE. https://doi.org/10. 23919/ICEMS.2018.8549129

[47]. Mallat, S. G., & Zhang, Z. (1993). Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41(12), 3397-3415. https://doi.org/10. 1109/78.258082

[48]. Marcic, T., Stumberger, B., Stumberger, G., Hadziselimovic, M., Virtic, P., & Dolinar, D. (2008). Linestarting three-and single-phase interior permanent magnet synchronous motors—Direct comparison to induction motors. IEEE Transactions on Magnetics, 44(11), 4413-4416. https://doi.org/10.1109/TMAG.2008.2001537

[49]. Mazzoletti, M. A., Bossio, G. R., De Angelo, C. H., & Espinoza-Trejo, D. R. (2017). A model-based strategy for interturn short-circuit fault diagnosis in PMSM. IEEE Transactions on Industrial Electronics, 64(9), 7218-7228. https://doi.org/10.1109/TIE.2017.2688973

[50]. Mehrjou, M. R., Mariun, N., Karami, M., Misron, N., & Radzi, M. A. M. (2015). Statistical features analysis of transient current signal for broken bars fault detection in rd LS-PMSMs. In Proceedings of the 2015 IEEE 3 International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Kuala Lumpur, Malaysia (pp. 1–6).

[51]. Moosavi, S. S., Djerdir, A., Aït-Amirat, Y., & Kkuburi, D. A. (2012, September). Artificial neural networks based fault detection in 3-Phase PMSM traction motor. In 2012, XX^th International Conference on Electrical Machines (pp. 1579-1585). IEEE. https://doi.org/10.1109/ICElMach. 2012.6350089

[52]. Moosavi, S. S., Esmaili, Q., Djerdir, A., & Amirat, Y. A. (2017, December). Inter-turn fault detection in stator winding of PMSM using wavelet transform. In 2017, IEEE Vehicle Power and Propulsion Conference (VPPC) (pp. 1- 5). IEEE. https://doi.org/10.1109/VPPC.2017.8330891

[53]. Nandi, S., Toliyat, H. A., & Li, X. (2005). Condition monitoring and fault diagnosis of electrical motors—A review. IEEE Transactions on Energy Conversion, 20(4), 719-729.

[54]. Nedjar, B., Vido, L., Hlioui, S., Amara, Y., & Gabsi, M. (2012, May). Hybrid coupling: Magnetic equivalent circuit coupled to finite element analysis for PMSM electromagnetic modeling. In 2012, IEEE International Symposium on Industrial Electronics (pp. 858-862). IEEE. https://doi.org/10.1109/ISIE.2012.6237201

[55]. Niu, X., Zhu, L., & Ding, H. (2005). New statistical moments for the detection of defects in rolling element bearings. The International Journal of Advanced Manufacturing Technology, 26(11-12), 1268-1274. https://doi.org/10.1007/s00170-004-2109-4

[56]. Obeid, N. H., Battiston, A., Boileau, T., & Nahid- Mobarakeh, B. (2017). Early intermittent interturn fault detection and localization for a permanent magnet synchronous motor of electrical vehicles using wavelet transform. IEEE Transactions on Transportation Electrification, 3(3), 694-702. https://doi.org/10.1109/TTE. 2017.2743419

[57]. Obeid, N. H., Boileau, T., & Nahid-Mobarakeh, B. (2016). Modeling and diagnostic of incipient interturn faults for a three-phase permanent magnet synchronous motor. IEEE Transactions on Industry Applications, 52(5), 4426-4434. https://doi.org/10.1109/TIA.2016.2581760

[58]. Pati, Y. C., Rezaiifar, R., & Krishnaprasad, P. S. (1993, November). Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition. In Proceedings of 27^th Asilomar conference on signals, systems and computers (pp. 40- 44). IEEE. https://doi.org/10.1109/ACSSC.1993.342465

[59]. Peter, H., & Hahn, I. (2012, June). Model based rotor angle fault detection in PM synchronous machines. In International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion (pp. 44-49). IEEE. https://doi.org/10.1109/SPEEDAM.2012. 6264376

[60]. Ping, Z. A., Juan, Y., & Ling, W. (2013, January). Fault detection of stator winding interturn short circuit in PMSM based on wavelet packet analysis. In 2013, Fifth International Conference on Measuring Technology and Mechatronics Automation (pp. 566-569). IEEE. https://doi. org/10.1109/ICMTMA.2013.141

[61]. Quiroga, J., Cartes, D. A., Edrington, C. S., & Liu, L. (2008, September). Neural network based fault detection of PMSM stator winding short under load fluctuation. In th 2008, 13 International Power Electronics and Motion Control Conference (pp. 793-798). IEEE. https://doi.org/ 10.1109/EPEPEMC.2008.4635364

[62]. Quiroga, J., Liu, L., & Cartes, D. A. (2008, June). Fuzzy logic based fault detection of PMSM stator winding short under load fluctuation using negative sequence analysis. In 2008, American Control Conference (pp. 4262-4267). IEEE. https://doi.org/10.1109/ACC.2008.4587163

[63]. Refaat, S. S., Abu-Rub, H., Saad, M. S., Aboul-Zahab, E. M., & Iqbal, A. (2013, May). Discrimination of stator winding turn fault and unbalanced supply voltage in permanent magnet synchronous motor using ANN. In 4^th International Conference on Power Engineering, Energy and Electrical Drives (pp. 858-863). IEEE. https://doi.org/ 10.1109/PowerEng.2013.6635722

[64]. Ren, L., Lv, W., Jiang, S., & Xiao, Y. (2016). Fault diagnosis using a joint model based on sparse representation and SVM. IEEE Transactions on Instrumentation and Measurement, 65(10), 2313-2320. https://doi.org/10.1109/TIM.2016.2575318

[65]. Romeral, L., Urresty, J. C., Ruiz, J. R. R., & Espinosa, A. G. (2010). Modeling of surface-mounted permanent magnet synchronous motors with stator winding interturn faults. IEEE Transactions on Industrial Electronics, 58(5), 1576-1585. https://doi.org/10.1109/TIE.2010.2062480

[66]. Rosero, J. A., Cusido, J., Garcia, A., Ortega, J. A., & Romeral, L. (2006, November). Broken bearings and eccentricity fault detection for a permanent magnet nd synchronous motor. In IECON 2006-32 Annual Conference on IEEE Industrial Electronics (pp. 964-969). IEEE. https://doi.org/10.1109/IECON.2006.347599

[67]. Rosero, J. A., Romeral, L., Cusido, J., Garcia, A., & Ortega, J. A. (2007, June). On the short-circuiting fault detection in a PMSM by means of stator current transformations. In 2007, IEEE Power Electronics Specialists Conference (pp. 1936-1941). IEEE. https://doi. org/10.1109/PESC.2007.4342300

[68]. Rosero, J. A., Romeral, L., Ortega, J. A., & Rosero, E. (2009). Short-circuit detection by means of empirical mode decomposition and Wigner–Ville distribution for PMSM running under dynamic condition. IEEE Transactions on Industrial Electronics, 56(11), 4534-4547. https://doi.org/10.1109/TIE.2008.2011580

[69]. Rosero, J., Cusido, J., Espinosa, A. G., Ortega, J. A., & Romeral, L. (2007, June). Broken bearings fault detection for a permanent magnet synchronous motor under non-constant working conditions by means of a joint time frequency analysis. In 2007, IEEE International Symposium on Industrial Electronics (pp. 3415-3419). IEEE. https://doi.org/10.1109/ISIE.2007.4375165

[70]. Rosero, J., Romeral, L., Cusido, J., & Ortega, J. A. (2007, November). Fault detection by means of wavelet transform in a PMSMW under demagnetization. In IECON rd 2007-33 Annual Conference of the IEEE Industrial Electronics Society (pp. 1149-1154). IEEE. https://doi.org/ 10.1109/IECON.2007.4460323

[71]. Rosero, J., Romeral, L., Ortega, J. A., &Rosero, E. (2008, February). Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wignerville distribution (WVD). In 2008, Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition (pp. 98-103). IEEE. https://doi.org/10.1109/ APEC.2008.4522706

[72]. Rosero, J., Romeral, L., Rosero, E., &Urresty, J. (2009, February). Fault Detection in dynamic conditions by means of Discrete Wavelet Decomposition for PMSM running under Bearing Damage. In 2009, Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition (pp. 951-956). IEEE. https://doi.org/10.1109/ APEC.2009.4802777

[73]. Ruoho, S., Kolehmainen, J., Ikaheimo, J., & Arkkio, A. (2009). Interdependence of demagnetization, loading, and temperature rise in a permanent-magnet synchronous motor. IEEE Transactions on Magnetics, 46(3), 949-953. https://doi.org/10.1109/TMAG.2009.203 3592

[74]. Ruoho, S., Kolehmainen, J., Ikaheimo, J., & Arkkio, A. (2009). Interdependence of demagnetization, loading, and temperature rise in a permanent-magnet synchronous motor. IEEE Transactions on Magnetics, 46(3), 949-953. https://doi.org/10.1109/TMAG.2009.2033 592

[75]. Safizadeh, M. S., & Latifi, S. K. (2014). Using multisensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell. Information Fusion, 18, 1-8. https://doi.org/10.1016/j. inffus.2013.10.002

[76]. Schmidhuber, J. (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85-117. https://doi.org/10.1016/j.neunet.2014.09.003

[77]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014). Health monitoring and fault diagnosis in induction motor-a review. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(1), 6549-6565.

[78]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2017). Modeling and open phase fault analysis in three and five phase permanent magnet synchronous motor machine. i-Manager's Journal on Instrumentation & Control Engineering, 5(4), 32-40. https://doi.org/10.26634/jic.5. 4.13843

[79]. Stack, J. R., Harley, R. G., & Habetler, T. G. (2004). An amplitude modulation detector for fault diagnosis in rolling element bearings. IEEE Transactions on Industrial Electronics, 51(5), 1097-1102.

[80]. Strangas, E. G., Aviyente, S., & Zaidi, S. S. H. (2008). Time–frequency analysis for efficient fault diagnosis and failure prognosis for interior permanent-magnet AC motors. IEEE Transactions on Industrial Electronics, 55(12), 4191-4199. https://doi.org/10.1109/TIE.2008.2007529

[81]. Urresty, J., Riba, J., Romeral, L., Rosero, J., & Serna, J. (2009, August). Stator short circuits detection in PMSM by means of Hilbert-Huang transform and energy calculation. In 2009, IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (pp. 1-7). IEEE. https://doi.org/10.1109/DEMPED. 2009.5292789

[82]. Usman, A., Joshi, B. M., & Rajpurohit, B. S. (2017, August). Review of fault modeling methods for permanent magnet synchronous motors and their th comparison. In 2017, IEEE 11 International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) (pp. 141-146). IEEE. https://doi.org/ 10.1109/DEMPED.2017.8062347

[83]. Vaseghi, B., Nahid-Mobarakeh, B., Takorabet, N., & Meibody-Tabar, F. (2007, September). Modeling of nonsalient PM synchronous machines under stator winding interturn fault condition: Dynamic model-FEM model. In 2007, IEEE Vehicle Power and Propulsion Conference (pp. 635- 640). IEEE. https://doi.org/10.1109/VPPC.2007.4544200

[84]. Vaseghi, B., Takorabet, N., & Meibody-Tabar, F. (2009). Fault analysis and parameter identification of permanent-magnet motors by the finite-element method. IEEE Transactions on Magnetics, 45(9), 3290- 3295. https://doi.org/10.1109/TMAG.2009.2022156

[85]. Welchko, B. A., Jahns, T. M., & Hiti, S. (2002). IPM synchronous machine drive response to a single-phase open circuit fault. IEEE Transactions on Power Electronics, 17(5), 764-771. https://doi.org/10.1109/TPEL.2002.802180

[86]. Wen, L., Li, X., Gao, L., & Zhang, Y. (2017). A new convolutional neural network-based data-driven fault diagnosis method. IEEE Transactions on Industrial Electronics, 65(7), 5990-5998. https://doi.org/10.1109/TIE. 2017.2774777

[87]. Wright, J., Yang, A. Y., Ganesh, A., Sastry, S. S., & Ma, Y. (2008). Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2), 210-227. https://doi.org/10. 1109/TPAMI.2008.79

[88]. Yan, R., & Gao, R. X. (2006). Hilbert–Huang transform-based vibration signal analysis for machine health monitoring. IEEE Transactions on Instrumentation and Measurement, 55(6), 2320-2329. https://doi.org/10. 1109/TIM.2006.887042

[89]. Yang, B., Liu, R., & Chen, X. (2017). Fault diagnosis for a wind turbine generator bearing via sparse representation and shift-invariant K-SVD. IEEE Transactions on Industrial Informatics, 13(3), 1321-1331. https://doi. org/10.1109/TII.2017.2662215

[90]. Yang, J., Ye, H., & Zhou, W. (2014, August). A review of Permanent Magnet Synchronous Motor fault diagnosis. In 2014, IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) (pp. 1-5). IEEE. https://doi.org/10.1109/ITEC-AP.2014.6940870

[91]. Yang, S., Li, W., & Wang, C. (2008, April). The intelligent fault diagnosis of wind turbine gearbox based on artificial neural network. In 2008, International Conference on Condition Monitoring and Diagnosis (pp. 1327-1330). IEEE. https://doi.org/10.1109/CMD.2008.458 0221

[92]. Yassa, N., Rachek, M., Djerdir, A., & Becherif, M. (2016). Detecting of multi phase inter turn short circuit in the five permanent magnet synchronous motor. International Journal of Emerging Electric Power Systems, 17(5), 583-595. https://doi.org/10.1515/ijeeps-2016-0084

[93]. Yin, S., Ding, S. X., Xie, X., & Luo, H. (2014). A review on basic data-driven approaches for industrial process monitoring. IEEE Transactions on Industrial Electronics, 61(11), 6418-6428. https://doi.org/10.1109/TIE.2014.230 1773

[94]. Yong, C., Xu, Z., & Liu, X. (2017, October). Sensorless control at low speed based on HF signal injection and a new signal processing method. In 2017, Chinese Automation Congress (CAC) (pp. 3041-3045). IEEE. https://doi.org/10.1109/CAC.2017.8243297

[95]. Yu, S., & Tang, R. (2006). Electromagnetic and mechanical characterizations of noise and vibration in permanent magnet synchronous machines. IEEE Transactions on Magnetics, 42(4), 1335-1338. https://doi. org/10.1109/TMAG.2006.871637

[96]. Zafarani, M., Bostanci, E., Qi, Y., Goktas, T., & Akin, B. (2018). Interturn short-circuit faults in permanent magnet synchronous machines: An extended review and comprehensive analysis. IEEE Journal of Emerging and Selected Topics in Power Electronics, 6(4), 2173-2191. https://doi.org/10.1109/JESTPE.2018.2811538

[97]. Zhang, Z., Xu, Y., Yang, J., Li, X., & Zhang, D. (2015). A survey of sparse representation: Algorithms and applications. IEEE Access, 3, 490-530. https://doi.org/10. 1109/ACCESS.2015.2430359

[98]. Zheng, J., Wang, Z., Wang, D., Li, Y., & Li, M. (2017, July). Review of fault diagnosis of PMSM drive system in th electric vehicles. In 2017, 36 Chinese Control Conference (CCC) (pp. 7426-7432). IEEE. https://doi.org/ 10.23919/ChiCC.2017.8028529

[99]. Zhong, J., Yang, Z., & Wong, S. F. (2010, December). Machine condition monitoring and fault diagnosis based on support vector machine. In 2010, IEEE International Conference on Industrial Engineering and Engineering Management (pp. 2228-2233). IEEE. https://doi.org/10. 1109/IEEM.2010.5674594

[100]. Zhongming, Y. E., & Bin, W. U. (2000, August). A review on induction motor online fault diagnosis. In Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No. 00EX435) (Vol. 3, pp. 1353-1358). IEEE. https://doi.org/ 10.1109/IPEMC.2000.883050

i-manager's Journal on Instrumentation and Control Engineering (JIC)

Current Issue Vol. 12 Issue 1

Most Read

Most Cited

Volume 8 Issue 1 January - June 2020

Energy Monitoring and Controlling System using Microcontroller and GSM Technology

Kadiri Kamoru Oluwatoyin * , Enem Theophilus Aniemeka **, Agboola Mutiu***

Oluwatoyin, K. K., Aniemeka, E. T., and Mutiu, A. (2020). Energy Monitoring and Controlling System using Microcontroller and GSM Technology. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 1-6. https://doi.org/10.26634/jic.8.1.17268

Abstract

References

Full Article (HTML)

Pdf

Solar Powered Evaporative Air Cooler: A Study on Effects of Configurations on Water Consumption

Shuaibu Ishaka Mohammad* , Ahmad Uba **, Hassan Yahya Nawawi ***, Mu'azu Musa ****

Mohammad, S. I., Uba, A., Nawawi, H. Y., and Musa, M. (2020). Solar Powered Evaporative Air Cooler: A Study on Effects of Configurations on Water Consumption. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 7-13. https://doi.org/10.26634/jic.8.1.16859

Abstract

References

Full Article (HTML)

Pdf

Four Quadrant Operation of BLDC Motor for Electric Hybrid Vehicles

B. Mahesh Babu*

Department of Electrical and Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India.

Babu, B. M. (2020). Four Quadrant Operation of BLDC Motor for Electric Hybrid Vehicles. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 14-21. https://doi.org/10.26634/jic.8.1.17613

Abstract

References

Full Article (HTML)

Pdf

Design and Analysis of a High Speed Hybrid Automotive Composite Propeller Shaft using Ansys 18.1

Abhishek Patel* , Shabana Naz Siddique**

*-** Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Bhilai, India.

Patel, A., and Siddique, S. N. (2020). Design and Analysis of a High Speed Hybrid Automotive Composite Propeller Shaft using Ansys 18.1. i-manager's Journal on Instrumentation and Control Engineering, 8(1), 22-27. https://doi.org/10.26634/jic.8.1.17509

Abstract

References

Full Article (HTML)

Pdf

Condition Monitoring of Permanent Magnet Synchronous Motor- A Review

Purnima Singh* , Pradeep Kumar Gupta**, Irshad Ahmad Mir***, Tariq Ahmad Ganie****, Khadim Moin Siddiqui *****

*-**,****,***** Department of Electrical Engineering, BBDITM, Lucknow. *** Department of Electrical & Electronics Engineering, BBDITM, Lucknow.

Singh, P., Gupta, P. K., Mir, I. A., Ganie, T. A., and Siddiqui, K. M. (2020). Condition Monitoring of Permanent Magnet Synchronous Motor- A Review i-manager's Journal on Instrumentation and Control Engineering, 8(1), 28-43. https://doi.org/10.26634/jic.8.1.17698

Abstract

References

Full Article (HTML)

Pdf

Kadiri Kamoru Oluwatoyin * , Enem Theophilus Aniemeka , Agboola Mutiu*

Shuaibu Ishaka Mohammad* , Ahmad Uba , Hassan Yahya Nawawi *, Mu'azu Musa ****

Purnima Singh* , Pradeep Kumar Gupta, Irshad Ahmad Mir, Tariq Ahmad Ganie, Khadim Moin Siddiqui

-,, Department of Electrical Engineering, BBDITM, Lucknow.

* Department of Electrical & Electronics Engineering, BBDITM, Lucknow.