Bearing Fault Detection in PWM Inverter Fed Induction Motor Drives by Transformative Techniques

Khadim Moin Siddiqui*, Kuldeep Sahay**, V. K. Giri***
* Research Scholar, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, India.
** Professor, Department of Electrical Engineering, An Autonomous Constituent Institute of Uttar Pradesh Technical University, Lucknow, India.
*** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Periodicity:April - June'2015
DOI : https://doi.org/10.26634/jee.8.4.3376

Abstract

Nowadays, the Squirrel Cage Induction Motor(SCIM) fed with PWM (Pulse Width Modulated) inverter is being extensively used in the industries to achieve variable speed for many applications. It provides greater advantages on cost and energy efficiency for varying speed applications as compared to other available industrial solutions. These kinds of drives are recently gathering enormous interest in the multi-megawatt industrial drive applications. In this paper, the bearing fault of the SCIM has been diagnosed in the transient condition as well as steady state conditions by advanced Digital Signal Processing(DSP) transformative techniques. The bearing fault has been diagnosed in the steady state condition by Fast Fourier Transform (FFT) algorithm and in the transient condition by time domain as well as wavelet transform. The results obtained by all three transformative techniques has been compared and it has been concluded that the wavelet transform is most suitable technique for early fault detection purpose. As a result, an early diagnosis of bearing fault is possible by wavelet transform and damage can be averted. Thus, industries can save money using this approach.

Keywords

Squirrel Cage Induction Motor (SCIM), Pulse Width Modulation (PWM), Time Domain Analysis, Fast Fourier Transform, Wavelet Transform, Bearing Fault Detection and Identification

How to Cite this Article?

Siddiqui, K. M., Sahay, K., and Giri, V. K. (2015). Transient Analysis of High-Phase Induction Machines. i-manager’s Journal on Electrical Engineering, 8(4), 7-18. https://doi.org/10.26634/jee.8.4.3376

References

[1]. Siddiqui, K.M., Sahay, K., & Giri, V.K., (2014). “Modelling and Detection of Bearing Fault in PWM Inverter Fed Induction Motor Drives”, i-manager's Journal on Electrical Engineering,8(1) Jul - Sep 2014, print ISSN 0973- 8835, E-ISSN 2230-7176, pp. 11-24.
[2]. Nandi, S., & Toliyat, H.A., (1999). “Condition Monitoring and Fault Diagnosis of Electrical Machine”, In Proc. IEEE IAS Annual Meeting, Vol. 1, pp. 197-204.
[3]. Benbouzid, M. E. H., (2000). “A Review of Induction Motor Signature Analysis as a Medium for Faults Detection”, IEEE Transactions on Industrial Electronics, Vol. 47, No. 5.
[4]. Riera-Guasp, M., Antonino-Daviu, J., Pineda- Sanchez, M., Puche Panadero, R., & PerezCruz, J., (2008). “A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform”, IEEE Transactions on Industrial Electronics, Vol. 55, No. 12, pp. 4167-4180.
[5]. Schoen, R., Habetler, T., Kamran, F., & Bartheld, R., (1995). “Motor Bearing Damage Detection using Stator Current Monitoring”, IEEE trans. Ind. Applicat., Vol. 31, No. 6, pp. 1274-1279.
[6]. IEEE Motor Reliability Working Group (1985), “Report on Large Motor Reliability Survey in Industrial and Commercial Installations”, IEEE Trans. Ind. Applicat., Vol. 31, No. 6, pp. 853-872.
[7]. BlÖdt, M., Granjon, P., Raison, B., & Rostaing, G., (2004). “Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring”, IEEE International Symposium on Industrial Electronics, Vol. 1, pp. 383-388.
[8]. Siddiqui, K.M., & Giri, V.K., (2012). “Broken Rotor Bar Fault Detection in Induction Motors using Wavelet Transform”, Int. Conf. Proc., IEEE, Computing, Electronics and Electrical Technologies [ICCEET], Chennai, INDIA, pp. 1-6.
[9]. Ayaz, E., (2006). “Continuous Wavelet Transform for Bearing Damage Detection in Electric Motors”, IEEE MELECON, Benalmadena (Malaga), Spain, pp. 16-19.
[10]. 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, Vol. 3, No. 1, pp. 6549-6565.
[11]. Singhal, A., Khandekar, M.A., (2013). “Bearing Fault Detection in Induction Motor Using Fast Fourier Transform”, IEEE Int. Conf. on Advanced Research in Engineering & Technology.
[12]. Ozelgin, I., (2008). “Analysis of Magnetic Flux Density for Air-gap Eccentricity and Bearing Faults”, International Journal of Systems Applications, Engineering & Development, Vol.2 , No. 4.
[13]. Ye, Z., Wu, B., & Sadeghian, A., (2003). “Current Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition”, IEEE Trans. Industrial Electronics, Vol. 50, No. 6.
[14]. Douglas, H., Pillay, P., & Ziarani, A.K., (2004). “A New Algorithm for Transient Motor Current Signature Analysis Using Wavelets”, IEEE Transactions on Industr y Applications, Vol. 40, No. 5.
[15]. Pons-Llinares, J, Antonino-Daviu, J, Roger-Folch, J., Morinigo-Sotelo, D. and Duque-Perez, O, (2010). “Eccentricity Diagnosis in Inverter Fed Induction Motors via the Analytic Wavelet Transform of Transient Currents”, XIX International Conference on Electrical Machines (ICEM), pp.1 -6.
[16]. Jung, J.H., Jong, J.L., & Bong, H.K.,(2006). “Online Diagnosis of Induction Motors Using MCSA”, IEEE Trans on Industrial, Vol. 53, pp. 1842-1852.
[17]. Watson, J.F., & Elder, S., (1989). “Fault Detection in Induction Motors as a Result of Transient Analysis”, In Conf. Proc. IEEE Electrical Machines and Drives, pp. 182-186.
[18]. Thomson, W.T., Fenger, M., (2001). “Current Signature Analysis to Detect Induction Motor Faults”, IEEE Industry Applications Magazine, Vol. 7, pp. 26-34.
[19]. Krause, P.C., & Wasynczuk, O., & Sudhoff, S.D., (1995). “Analysis of Electric Machinery and Drive Systems”, Wiley & Sons, Inc. IEEE Publication, Second Edition.
[20]. Ponci, F., Monti, A., Cristaldi, L., & Lazzaroni, M., (2007). “Diagnostic of a Faulty Induction Motor Drive via Wavelet Decomposition”, IEEE Transactions on Instrumentation and Measurement, Vol. 56 No. 6, pp. 2606 –2615.
[21]. Zhang Pinjia, D. Y., Habetler, T.G., & Bin, L., (2011). “A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors”, IEEE Transactions on Industry Applications, Vol.47, No. 1, pp.34 – 46.
[22]. Daubechies, I., (1990). “The Wavelet Transform, Time-Frequency Localization and Signal Analysis”, IEEE Transactions on Information Theory, Vol. 36, pp. 961- 1005.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

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.