Health Monitoring and Eccentricity Fault Diagnosis of Induction Motor by Signal Processing Techniques

Khadim Moin Siddiqui*, Bhavesh Kumar Chauhan**, Sonu Bala Garg***
*,** Babu Banarsi Das National Institute of Technology and Management (BBDNITM), Lucknow, Uttar Pradesh India.
*** IKG Punjab TechnicalUniversity, Jalandhar Campus, Punjab, India.
Periodicity:July - September'2019
DOI : https://doi.org/10.26634/jdp.7.3.17063

Abstract

In the present time, there is a strong need to develop an efficient health monitoring system to diagnose air-gap eccentricity fault of the induction motor at early stages. If the fault is diagnosed in the early stages then one can save the industry for millions of dollars. The main aim of the researchers is to develop a non-intrusive health monitoring system for induction motor health detection in relatively low cost and also ought to be powerful for detection of developing online faults in the early stages. In the induction motor, due to unbalanced magnetic pull, the airgap eccentricity faults occur and if this fault is not diagnosed in the early stages then it will lead to large revenue losses for the industry. This issue has been addressed in this research paper and an effort is made to give an competent health monitoring technique for this kind of fault detection purpose. To achieve better results, hybrid technique has been used to extract relevant information of the fault from the raw signal in the developing stage. The EMD and wavelet algorithm has been used jointly for efficient health monitoring purpose for inverter fed induction motor machine. Two techniques have been used for fault diagnosis purpose, one is FFT technique and the other is hybrid technique. It has been observed that the hybrid technique has given encouraging results over FFT technique.

Keywords

Eccentricity Fault Diagnosis, Empirical Decomposition, Hybrid Technique, Induction Motor, Motor Current Signature Analysis, Signal Processing.

How to Cite this Article?

Moinsiddiqui, K., Chauhan, B. K., and Garg, S. B. (2019). Health Monitoring and Eccentricity Fault Diagnosis of Induction Motor by Signal Processing Techniques. i-manager’s Journal on Digital Signal Processing. 7(3), 9-15. https://doi.org/10.26634/jdp.7.3.17063

References

[1]. Antonino-Daviu, J. A., Quijano-Lopez, A., Rubbiolo, M., & Climente-Alarcon, V. (2018). Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities. IEEE Transactions on Industry Applications, 54(4), 3934-3942. https://doi.org/10.1109/TIA.2018.2818671
[2]. Bell, R. N., McWilliams, D., O'Donnell, P., Singh, C., & Wells, S. J. (1985). Report of large motor reliability survey of industrial and commercial installations, Part II. IEEE Transactions on Industry Applications, IA-21, 865-872. https://doi.org/10.1109 /TIA.1985.349533
[3]. Belmans, R., & Hameyer, K. (1996). Different approaches to the preventive maintenance of induction motors. In Proceedings of ICEM 1996, 2, 423-428.
[4]. Benbouzid, M. E. H. (2000). A review of induction motors signature analysis as a medium for faults detection. IEEE Transactions on Industrial Electronics, 47(5), 984-993. https://doi.org/10.1109/ 41.873206
[5]. Bessous, N., Zouzou, S. E., Sbaa, S., &Bentrah, W. (2017a, May). A comparative study between the MCSA, DWT and the vibration analysis methods to diagnose the dynamic eccentricity fault in induction motors. In 2017 6th International Conference on Systems and Control (ICSC) (pp. 414-421). IEEE. https://doi.org/10.1109/ICoSC.2017. 7958655
[6]. Bessous, N., Zouzou, S. E., Sbaa, S., Bentrah, W., Becer, Z., & Ajgou, R. (2017b, October). Static eccentricity fault detection of induction motors using MVSA, MCSA and discrete wavelet transform (DWT). In 2017 5th International Conference on Electrical Engineering-Boumerdes (ICEE-B) (pp. 1-10). IEEE. https://doi.org/10.1109/ICEE-B.2017. 8192035
[7]. Binns, K. J., & Dye, M. (1973, March). Identification of principal factors causing unbalanced magnetic pull in cage induction motors. In Proceedings of the Institution of Electrical Engineers (Vol. 120, No. 3, pp. 349-354). IET. https://doi.org/10.1049/piee.1973 .0072
[8]. Cornell, E. P., Owen, E. L., Appiarius, J. C., McCoy, R. M., Albrecht, P. F., & Houghtaling, D. W. (1982),. Improved Motors for Utility Applications. General Electric Company. United States.
[9]. Dehina, W., Boumehraz, M., Kratz, F., & Fantini, J. (2019, September). Diagnosis and Comparison between stator current analysis and vibration analysis of static eccentricity faults in the induction motor. In 2019 4th International Conference on Power Electronics and their Applications (ICPEA) (pp. 1-4). IEEE. https://doi.org/10.1109 /ICPEA1. 2019.8911193
[10]. Dorrell, D. G., & Kayani, O. (2014). Measurement and calculation of unbalanced magnetic pull in wound rotor induction machine. IEEE Transactions on Magnetics, 50 (11), 1- 4. https://doi.org/10.1109 /TMAG.2014. 2326414
[11]. Dorrell, D. G., Thomson, W. T., & Roach, S. (1997). Analysis of airgap flux, current, and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3- phase induction motors. IEEE Transactions on Industry applications, 33(1), 24-34. https://doi.org/ 10.1109/28.567073
[12]. Drif, M., & Cardoso, A. J. M. (2008). Airgap-eccentricity fault diagnosis in three-Phase induction motors by the complex apparent power signature analysis. IEEE Transactions on Industrial Electronics, 55(3), 1404-1410. https://doi.org/ 10.1109/TIE.2007.909076
[13]. Finley, W. R., & Burke, R. R. (1994). Troubleshooting motor problems. IEEE Transactions on Industry Applications, 30(5), 1383-1397. https://doi.org/10.1109/28.315253
[14]. Fontes, A. S., Cardoso, C. A., & Oliveira, L. P. (2016, December). Comparison of techniques based on current signature analysis to fault detection and diagnosis in induction electrical motors. In 2016 Electrical Engineering Conference (EECon) (pp. 74-79). IEEE. https://doi.org/ 10.1109/EECon .2016.7830938
[15]. Hong, J., Lee, S. B., Kral, C., & Haumer, A. (2011). Detection of airgap eccentricity for permanent magnet synchronous motors based on the d-axis inductance. IEEE Transactions on Power Electronics, 27(5), 2605-2612. https://doi.org/10.1109/TPEL.2011.2176145
[16]. Hyun, D., Hong, J., Lee, S. B., Kim, K., Wiedenbrug, E. J., Teska, M., Nandi, S., & Chlevan, I. T. (2010). Automated Monitoring of Air gap Eccentricity for Inverter fed Induction Motors under Standstill Conditions. In IEEE International Conferences Proceedings on Energy Conversion Congress and Exposition (ECCE). https://doi.org/10.26634/jic.3.1. 3423
[17]. Salah, A., Guo, Y., & Dorrell, D. (2017, August). Monitoring and damping unbalanced magnetic pull due to eccentricity fault in induction machines: A review. In 2017, 20th International Conference on Electrical Machines and Systems (ICEMS) (pp. 1-6). IEEE. https://doi.org/10.110 9/ICEMS.2017.8055965
[18]. 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.
[19]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2015, December). Detection of bearing fault in inverter fed induction motor by transformative techniques. In 2015 Annual IEEE India Conference (INDICON) (pp. 1-6). IEEE. https://doi.org/10.1109/ INDICON.2015.7443129
[20]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2016a, March). Airgap eccentricity fault detection in the transient condition for inverter driven induction motor drives. In 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) (pp. 1-6). IEEE. https://doi.org/10.1109/ICCPCT. 2016.7530236
[21]. Siddiqui, K. M., Sahay, K., Giri, V. K., & Gothwal, N. (2016b). Diagnosis of airgap eccentricity fault in the inverter driven induction motor drives by transformative techniques. Perspectives in Science, 8, 127-131. https://doi.org/10 .1016/j.pisc.2016.04.014
[22]. Sinervo, A., Laiho, A., & Arkkio, A. (2011). Low-frequency oscillation in rotor vibration of a two-pole induction machine with extra four-pole stator winding. IEEE Transactions on Magnetics, 47(9), 2292-2302. https://doi. org/10.1109/TMAG.2011.2142007
[23]. Smith, A. C., & Dorrell, D. G. (1996). Calculation and measurement of unbalanced magnetic pull in cage induction motors with eccentric rotors. Part 1: Analytical model. IEEE Proceedings-Electric Power Applications, 143(3), 193-201. https://doi.org/10.1049/ip-epa:19960155
[24]. Trabelsi, M., Boussak, M., & Chaari, A. (2012, September). High performance single and multiple faults diagnosis in th voltage source inverter fed induction motor drives. In 2012 XX International Conference on Electrical Machines (pp. 1717- 1723). IEEE. https://doi.org/10.1109 /ICElMach .2012.6350112
[25]. Vas, P. (1993). Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (No. 27). Oxford University Press.
[26]. Yang, Q., & An, D. (2013). EMD and wavelet transform based fault diagnosis for wind turbine gear box. Advances in Mechanical Engineering, 5, 212836. https://doi.org/ 10.1155%2F2013 %2F212836
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