Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique

Khadim Moin Siddiqui*, Kuldeep Sahay **, V. K. Giri***
* Associate Professor & HOD, Department of Electrical Engineering, Guru Nanak Institute of Engineering and Management, Hoshiarpur,Punjab, India.
** Professor & HOD, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, U.P., India.
*** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India.
Periodicity:January - March'2019
DOI : https://doi.org/10.26634/jee.12.3.14892

Abstract

Presently, induction motor adjustable speed drives are being popular in the industrial applications and replacing existing techniques such as Direct Current (DC) motors and Silicon Controlled Rectifiers (SCR) bridges. In this paper, the induction motor's stator inter-turn fault has been diagnosed by advanced Digital Signal Processing (DSP) technique. The Wavelet Transform (WT) algorithm is applied for stator winding fault diagnosis purpose in the transitory period. The wavelet transform's approximation signal is chosen for stator inter-turn fault diagnosis purpose for variable load effectively. The obtained results by WT technique demonstrated that the early fault detection is possible and prevented the machine before reach in the disastrous conditions. Therefore, millions of dollars may be saved for industries and unexpected shutdown.

Keywords

Squirrel Cage Induction Motor, Pulse Width Modulation Inverter, Direct Torque Control, Motor Current Signature Analysis, Time-frequency Domain Analysis, Wavelet Transform, Stator Fault Detection and Identification.

How to Cite this Article?

Siddiqui , K., M., Sahay, K., & Giri, V., K. (2019). Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique i-manager’s Journal on Electrical Engineering, 12(3), 9-20. https://doi.org/10.26634/jee.12.3.14892

References

[1]. Albrecht, P. F., Appiarius, J. C., McCoy, R. M., Owen, E. L., & Sharma, D. K. (1986). Assessment of the reliability of motors in utility applications-Updated. IEEE Transactions on Energy Conversion, 1, 39-46.
[2]. Awadallah, M. A., & Morcos, M. M. (2003). Application of AI tools in fault diagnosis of electrical machines and drives-an overview. IEEE Transactions on Energy Conversion, 18(2), 245-251.
[3]. Awadallah, M. A., Morcos, M. M., Gopalakrishnan, S., & Nehl, T. W. (2005). A neuro-fuzzy approach to automatic diagnosis and location of stator inter-turn faults in CSI-fed PM brushless DC motors. IEEE Transactions on Energy Conversion, 20(2), 253-259.
[4]. Bangura, J. E., & Demerdash, N. A. (2000). Comparison between characterization and diagnosis of broken bars/end-ring connectors and airgap eccentricities of induction motors in ASDs using a coupled finite elementstate space method. IEEE Transactions on Energy Conversion, 15(1), 48-56.
[5]. Barendse, P. S., & Pillay, P. (2007, September). The detection of unbalanced faults in inverter-fed induction machines. In 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (pp. 46-51). IEEE.
[6]. Bellini, A., Filippetti, F., Tassoni, C., & Capolino, G. A. (2008). Advances in diagnostic techniques for induction machines. IEEE Transactions on Industrial Electronics, 55(12), 4109-4126.
[7]. Benbouzid, M. E. H., & Kliman, G. B. (2003). What stator current processing-based technique to use for induction motor rotor faults diagnosis? IEEE Transactions on Energy Conversion, 18(2), 238-244.
[8]. Bonnett, A. H., & Soukup, G. C. (1992). Cause and analysis of stator and rotor failures in three-phase squirrelcage induction motors. IEEE Transactions on Industry Applications, 28(4), 921-937.
[9]. Chua, T. W., Tan, W. W., Wang, Z. X., & Chang, C. S. (2010, July). Hybrid time-frequency domain analysis for inverter-fed induction motor fault detection. In 2010 IEEE International Symposium on Industrial Electronics (pp. 1633-1638). IEEE.
[10]. Cruz, S. M., & Cardoso, A. M. (2004). Diagnosis of stator inter-turn short circuits in DTC induction motor drives. IEEE Transactions on Industry Applications, 40(5), 1349- 1360.
[11]. Daubechies, I. (1990). The wavelet transform, timefrequency localization and signal analysis. IEEE Transactions on Information Theory, 36(5), 961-1005.
[12]. Dlamini, M., Barendse, P. S., & Khan, A. (2013, February). Autonomous detection of interturn stator faults in induction motors. In Industrial Technology (ICIT), 2013 IEEE International Conference on (pp. 1700-1705). IEEE.
[13]. Duque-Perez, O., Morinigo-Sotelo, D., & Perez-Alonso, M. (2011, May). Diagnosis of induction motors fed by supplies with high harmonic content using motor current signature analysis. In 2011 International Conference on Power Engineering, Energy and Electrical Drives (pp. 1-6). IEEE.
[14]. Frosini, L., Bassi, E., & Girometta, L. (2012, October). Detection of stator short circuits in inverter-fed induction motors. In IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society (pp. 5102-5107). IEEE.
[15]. Gupta, R. A., Wadhwani, A. K., & Kapoor, S. R. (2011). Early estimation of faults in induction motors using symbolic dynamic-based analysis of stator current samples. IEEE Transactions on Energy Conversion, 26(1), 102-114.
[16]. Haji, M., & Toliyat, H. A. (2001). Pattern recognition-a technique for induction machines rotor broken bar detection. IEEE Transactions on Energy Conversion, 16(4), 312-317.
[17]. IEEE Motor Reliability Working Group. (1985). Report of large motor reliability survey of industrial and commercial installations, Part I. IEEE Trans. Ind. App., 21(4), 853-864.
[18]. Ilonen, J., Kamarainen, J. K., Lindh, T., Ahola, J., Kalviainen, H., & Partanen, J. (2005). Diagnosis tool for motor condition monitoring. IEEE Transactions on Industry Applications, 41(4), 963-971.
[19]. Jagadanand, G., Gopi, L., George, S., & Jacob, J. (2012). Inter-turn fault detection in induction motor using stator current wavelet decomposition. International Journal of Electrical Engineering and Technology (IJEET), 3(2), 103-22.
[20]. Jung, J. H., Lee, J. J., & Kwon, B. H. (2006). Online diagnosis of induction motors using MCSA. IEEE Transactions on Industrial Electronics, 53(6), 1842-1852.
[21]. Kawady, T. A., Afify, A. A., Osheiba, A. M., & Taalab, A. I. (2009). Modeling and experimental investigation of stator winding faults in induction motors. Electric Power Components and Systems, 37(6), 599-611.
[22]. Khan, M. A. S. K., Radwan, T. S., & Rahman, M. A. (2007). Real-time implementation of wavelet packet transform-based diagnosis and protection of three-phase induction motors. IEEE Transactions on Energy Conversion, 22(3), 647-655.
[23]. Krause, P. C., & Thomas, C. H. (1965). Simulation of symmetrical induction machinery. IEEE Transactions on Power Apparatus and Systems, 84(11), 1038-1053. [24]. Lee, S. B., Younsi, K., & Kliman, G. B. (2005). An online technique for monitoring the insulation condition of AC machine stator windings. IEEE Transactions on Energy Conversion, 20(4), 737-745.
[25]. Liang, B., Payne, B. S., Ball, A. D., & Iwnicki, S. D. (2002). Simulation and fault detection of three-phase induction motors. Mathematics and Computers in Simulation, 61(1), 1-15.
[26]. Mehala, N., Dahiya, R. (2008). Motor current signature analysis and its applications in induction motor fault diagnosis. International Conference on Signal Processing, Robotics and Automation (ISPRA-08) (pp. 442-448).
[27]. Nandi, S., Bharadwaj, R. M., & Toliyat, H. A. (2002). Performance analysis of a three-phase induction motor under mixed eccentricity condition. IEEE Transactions on Energy Conversion, 17(3), 392-399.
[28]. Puche-Panadero, R., Pineda-Sanchez, M., Riera- Guasp, M., Roger-Folch, J., Hurtado-Perez, E., & Perez- Cruz, J. (2009). Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip. IEEE Transactions on Energy Conversion, 24(1), 52-59.
[29]. Rajagopalan, V., & Ray, A. (2006). Symbolic time series analysis via wavelet-based partitioning. Signal Processing, 86(11), 3309-3320.
[30]. Razafimahefa, D. T., Randrianarisoa, E., Sambatra, E. J. R., & Heraud, N. (2014, October). Modeling and faults detection of small power wound rotor induction machine. In Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on (pp. 311-316). IEEE.
[31]. Schoen, R. R., & Habetler, T. G. (1997). Evaluation and implementation of a system to eliminate arbitrary load effects in current-based monitoring of induction machines. IEEE Trans. Ind. Appl., 33(6), 1571-1577.
[32]. Siddique, A., Yadava, G. S., & Singh, B. (2005). A review of stator fault monitoring techniques of induction motors. IEEE Transactions on Energy Conversion, 20(1), 106- 114.
[33]. Siddiqui, K. M., & Giri, V. K. (2012, March). Broken rotor bar fault detection in induction motors using wavelet transform. In Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on (pp. 1-6). IEEE.
[34]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014a). 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.
[35]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014b). Simulation and transient analysis of PWM inverter fed squirrel cage induction motor drives. i-manager’s Journal on Electrical Engineering, 7(3), 9-19.
[36]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2015b). Rotor broken bar fault detection in induction motor using transformative techniques. Journal of Electrical Engineering, 15(1), 135-141.
[37]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2015c, March). Modelling and detection of bearing fault in SPWM inverter fed squirrel cage induction motor drives. In 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] (pp. 1-9). IEEE.
[38]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2016). Transient model and detection of stator inter-turn fault in inverter driven induction motor drives by time domain technique. imanager's Journal on Electrical Engineering, 9(3), 20-23.
[39]. Stavrou, A., Sedding, H. G., & Penman, J. (2001). Current monitoring for detecting inter-turn short circuits in induction motors. IEEE Transactions on Energy Conversion, 16(1), 32-37.
[40]. Thomas, V. V., Vasudevan, K., & Kumar, V. J. (2003). Online cage rotor fault detection using air-gap torque spectra. IEEE Transactions on Energy Conversion, 18(2), 265-270.
[41]. Toliyat, H. A. (1999). Condition monitoring and fault diagnosis of electrical machines, a review. In IEEE-IAS 1999 Annual Meeting (pp. 197-204).

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

If you have access to this article please login to view the article or kindly login to purchase the article
Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.
Submit New Paper Track Paper Status Buy Journal Track Your Subscription Journal Archive