Diagnosis of Induction Machine Faults by DWT
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Diagnosis of Induction Machine Faults by DWT

Authors: Hamidreza Akbari

Abstract:

In this paper, for detection of inclined eccentricity in an induction motor, time–frequency analysis of the stator startup current is carried out. For this purpose, the discrete wavelet transform is used. Data are obtained from simulations, using winding function approach. The results show the validity of the approach for detecting the fault and discriminating with respect to other faults.

Keywords: Induction machine, Fault, DWT.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1094217

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[1] J. Faiz1, B. Ebrahimi, B. Akin, and H. Toliyat,”Finite-Element Transient Analysis of Induction Motors Under Mixed Eccentricity Fault,” IEEE Trans. Magnetics, vol. 44, no. 1, January 2008.
[2] A. M. Trzynadlosky, "Diagnostic of mechanical abnormalities in induction motor using instantaneous electric power,” in Proc. 1997 Int. Electr. Machines Drives Conf., Milwaukee, WI, pp. 91–93.
[3] N. M. Elkasabgy, A. R. Eastman, and G. E. Dawson, "Detection of broken bar in the cage rotor on an induction machine,” IEEE Trans. Industry Application, vol. 28, no. 1, pp. 165–171, Jan./Feb. 1992.
[4] S. Nandi,, H. Toliyat, and Xiaodong Li,” Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review”, IEEE Trans. Energy Conversion, vol. 20, no. 4, December 2005.
[5] J. Antonino-Daviu, M. Riera-Guasp, J. Roger-Folch, F. Martı´ nez-Gime´ and nez, A. Peris, "Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines,” Applied and Computational Harmonic Analysis, vol. 21, no. 2, pp. 268–279, 2006.
[6] J.A. Antonino-Daviu, M. Riera-Guasp, J. Roger-Folch and M.P. Molina, "Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines,” IEEE Trans. Industry Applications, vol. 42, no. 4, pp. 990–996, 2006.
[7] Z. Ye, A. Sadeghian and B. Wu, "Mechanical fault diagnostics for induction motor with variable speed drives using Adaptative Neurofuzzy Inference System,” Electric Power Systems Research, vol. 76, no. 10, pp. 742–752, 2006.
[8] Z. Ye, B. Wu and A. Sadeghian, "Current signature analysis of induction motor mechanical faults by wavelet packet decomposition,” IEEE Transactions on Industrial Electronics, vol. 50, no. 6, pp. 1217–1228,(2003.
[9] J. Antonino, P. Joverb, M. Rieraa, A. Arkkiob and J. Roger-Folch, "DWT analysis of numerical and experimental data for the diagnosis of dynamic eccentricities in induction motors”, Mechanical Systems and Signal Processing, vol. 21, pp. 2575–2589, 2007.
[10] J. Faiz, I. T. Ardekani and H. A. Toliyat, "An evaluation of inductances of a squirrel-cage induction motor under mixed eccentric conditions," IEEE Trans Energy Conversion, vol. 18, no. 2, June 2003.
[11] M. Ojaghi and S. Nasiri, Modeling Eccentric Squirrel-Cage Induction Motors With Slotting Effect and Saturable Teeth Reluctances, IEEE Transactions on Energy Conversion, pp. 1-9, No. 99, DOI 10.1109/TEC.2014.2320823, 2014.
[12] Li ediadong and S. Nandi, "Performance analysis of a three phase induction machine with inclined static eccentricity ", IEEE Trans. Industry Application, vol. 43, no. 2, March 2007.
[13] Hamidreza Akbari," Modeling and Simulation of Induction Machines Under Misalignment Condition", ICIEE,Dubai, Oct. 2012.
[14] G. Bossio, C. D. Angelo, J. Solsona, G. Garcia and M. I. Valla, "A 2-D model of the induction machine: an extension of the modified winding function approach," IEEE Trans. Energy Conversion, vol. 19, no. 1, March 2004.
[15] Hamid A. Toliyat, T. A. Lipo, and J. C. White, "Analysis of a concentrated winding induction machine for adjustable speed drive applications, part-1(motor analysis)", IEEE Trans. energy conversion, vol. 6, pp. 679-692, Dec.1991.
[16] C.S. Burrus, R.A. Gopinath and H. Guo, Introduction to Wavelets and Wavelet Transforms a Primer, Prentice-Hall, Englewood Cliffs, NJ, 1998.
[17] R. Polikar, L. Udpa, S.S. Udpa and T. Taylor, "Frequency invariant classification of weld inspection signals,” IEEE Tranactions on Ultrasonics Ferroelectrics and Frequency Control vol. 45, no. 3, pp. 614–625, 1998.
[18] T. Tarasiuk, "Hybrid wavelet-Fourier spectrum analysis,” IEEE Transactions on Power Delivery, vol. 19, no. 3, pp. 957–964, 2004.