Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition

0*, Kuldeep Sahay**, V. K. Giri***
*-** Department of Electrical Engineering, Institute of Engineering and Technology, Lucknow, India.
*** Electrical Engineering Department, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Periodicity:November - January'2015
DOI : https://doi.org/10.26634/jic.3.1.3423


In the present time, the inverter-driven induction motors drives are being widely employed in the industries for variable speed applications. These drives are replacing D.C. motors and thyrister bridges day to day in the industries. In the past, the Fast Fourier Transform (FFT) algorithm had been successfully implemented for the diagnosis of air-gap fault in the induction motor. This algorithm was used to diagnose various induction motor faults in the steady state conditions for constant load. However, the FFT algorithm is unable to detect induction motor faults in the transient condition. Therefore, early fault detection is not possible by this algorithm. Generally, the variable speed induction motors include large data size and FFT method is also not able to diagnose many faults for large data size. This research paper proposes a new technique for early air-gap fault diagnosis purpose. By using this technique, the air-gap fault may be diagnosed in the transient condition and fault may be averted before it becomes more catastrophic. As a result, industries may save large revenues and unexpected failure condition. In this research paper, an inverter driven induction motor model has been proposed and diagnosed for air-gap eccentricity fault in the transient condition by time-domain and time-frequency domain techniques.


Mathematical Modelling, Pulse Width Modulated (PWM) Inverter, Induction Motor, Airgap Fault Detection and Identification, Time-Domain Analysis, Wavelet Transform.

How to Cite this Article?

Siddiqui, K.M.S., Sahay, K., and Giri, V.K. (2015). Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition. i-manager’s Journal on Instrumentation and Control Engineering, 3(1), 30-41. https://doi.org/10.26634/jic.3.1.3423


[1]. Khadim Moin Siddiqui, Kuldeep Sahay and V.K. Giri (2014). “Simulation And Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives”. i-manager's Journal on Electrical Engineering, Vol.7(3), Jan-Mar, 2014, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 9-19.
[2]. M. Drif and A.J.M. Cardoso, (2008). "Air gap- Eccentricity Fault Diagnosis, in Three-Phase Induction Motors, by the Complex Apparent Power Signature Analysis”, IEEE Transactions on Industrial Electronic, Vol.15(3), pp.1404-1410.
[3]. D. Hyun, J. Hong, S.B. Lee, K. Kim, E.J. Wiedenbrug, M.Teska, S. Nandi and I.T. Chlevan, (2010). “Automated Monitoring of Air gap Eccentricity for Inverter Fed Induction Motors Under Standstill Conditions”, IEEE International Conferences Proceedings on Energy Conversion Congress and Exposition(ECCE).
[4]. Khadim Moin Siddiqui, Kuldeep Sahay and V.K. Giri, (2014). “Health Monitoring and Fault Diagnosis in Induction Motor- A Review”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol.3(1), pp.6549-6565.
[5]. T.M. Wolbank, P. Macheiner, L.M. Juergen and H.Hans, (2003). “Simulation and Observer Based Detection of Air gap Asymmetries Caused by Rotor Eccentricity in Inverter th Fed AC Machines”, 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED-2003), pp. 327 – 332.
[6]. Khadim Moin Siddiqui and V.K. Giri, (2012). “ Broken Rotor Bar Fault Detection in Induction Motors using Wavelet Transform”, International Conferences Proceedings IEEE, Computing, Electronics and Electrical Technologies [ICCEET], pp.1-6.
[7]. M. Trabelsi, M. Boussak and A. Chaari, (2012). “High Performance Single and Multiple Faults Diagnosis in th Voltage Source Inverter Fed Induction Motor Drives”, 20 IEEE International Conferences Proceedings on Electrical Machines (ICEM-2012), pp. 1717-1723.
[8]. J. Hong, S.B. Lee, C. Kral and A. Haumer, (2012). “Detection of Air gap Eccentricity for Permanent Magnet Synchronous Motors Based on the d-Axis Inductance”, IEEE Transactions on Power Electronics, Vol.27(5), pp.2605- 2612.
[9]. R. R. Schoen, B. K. Lin, T. G. Habetler, J.H. Schlag and S. Farag, (2002). “An Unsupervised, On Line System for Induction Motor Fault Detection Using Stator Current Monitoring”, IEEE Transactions on Industry Applications, Vol. 31(6), pp.1280-1286.
[10]. K.M. Siddiqui, Kuldeep Sahay and V.K. Giri, (2015). “Modelling and Detection of Bearing Fault in SPWM Inverter Fed Squirrel Cage Induction Motor Drives”, IEEE International Conferences on Circuit, Power and Computing Technologies (ICCPCT), pp.1-9.
[11]. X. Huang, T. G. Habetler and R. G. Harley, (2004). "Detection of Rotor Eccentricity Faults In closed-Loop Driveth Connected Induction Motors Using an Artificial Neural", 35th IEEE Annual Power Electronics Specialists Conference- PESC, Vol.2, pp. 913-918.
[12]. F. Filippetti, G. Franceschini and C. Tassoni, (2005). "Neural Networks Aided On-Line Diagnostics of Induction Motor Rotor Faults", IEEE Transactions on industry Applications, Vol.31(4), pp.892-899.
[13]. S. Nandi and H. A. Toliyat, (2001). “Detection of Rotor Slot and Other Eccentricity Related Harmonics in a Three Phase Induction Motor with Different Rotor Cages” IEEE Transactions Energy Conversion, Vol. 16(3) , pp.253-260.
[14]. D. G. Dorrell, W. T. Thomson and S. Roach, (1997). “Analysis of Air-Gap Flux, Current, Vibration Signals as a Function of The Combination of Static and Dynamic Airgap Eccentricity in 3-Phase Induction Motors”, IEEE Transactions Industrial Applications, Vol. 33(1), pp. 24-34.
[15]. Barbour and W.T. Thomson, (1997). “Finite Element Study of Rotor Slot Designs With Respect to Current Monitoring For Detecting Static Air gap Eccentricity in Squirrel-Cage Induction Motor”, IEEE-IAS Annual Meeting Conference Recordings, pp. 112-119.
[16]. S. Nandi, R. M. Bharadwaj, H. A. Toliyat and A. G. Parlos (2002). “Performance Analysis of a Three Phase Induction Motor under Incipient Mixed Eccentricity Condition”, IEEE Transactions Energy Conversion, Vol. 17 (3). pp 392-399.
[17]. Ilker Ozelgin, (2008). ”Analysis of Magnetic Flux Density for Air-gap Eccentricity and Bearing Faults”, International Journal of Systems Applications, Engineering & Development, Vol.2(4).
[18]. P.C. Krause, O. Wasynczuk and S. D. Sudhoff, (2002). “Analysis of E- Machinery and Drive Systems”, Wiley & Sons, Inc. IEEE Publication, Second Edition.

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