CFP last date
20 January 2025
Reseach Article

Torque Analysis of Faulty SRM using FEA-TFR Approach

by Ilhem Bouchareb, Amar Bentounsi, Abdesselam Lebaroud
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 4
Year of Publication: 2013
Authors: Ilhem Bouchareb, Amar Bentounsi, Abdesselam Lebaroud
10.5120/9916-4517

Ilhem Bouchareb, Amar Bentounsi, Abdesselam Lebaroud . Torque Analysis of Faulty SRM using FEA-TFR Approach. International Journal of Computer Applications. 61, 4 ( January 2013), 28-35. DOI=10.5120/9916-4517

@article{ 10.5120/9916-4517,
author = { Ilhem Bouchareb, Amar Bentounsi, Abdesselam Lebaroud },
title = { Torque Analysis of Faulty SRM using FEA-TFR Approach },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 4 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number4/9916-4517/ },
doi = { 10.5120/9916-4517 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:11.427254+05:30
%A Ilhem Bouchareb
%A Amar Bentounsi
%A Abdesselam Lebaroud
%T Torque Analysis of Faulty SRM using FEA-TFR Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 4
%P 28-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an analysis of effects of dynamic air-gap eccentricity on the performances of a 6/4 Switched Reluctance Machine (SRM) through finite element analysis (FEA) based on a FEMM package associated to MATLAB/SIMULINK package software. Among the various Time-Frequency methods used for detection of defects, the Time-Frequency Representation (TFR) is an appropriate tool to detect the mechanical failures through the torque analysis by allowing a better representation independent from the type of fault. Simulation results of healthy and faulty cases are discussed and illustrate the effectiveness of the proposed approach.

References
  1. H. A. Toliyat, M. S. Arefeen, and A. G. Parlos, "A method for dynamic simulation of eccentricity in induction machines", IEEE-TIA, vol. 32, no. 4, pp. 910-918, July/August 1996.
  2. Subhasis Nandi, Shehab Ahmed, and Hamid A. Toliyat, "Detection of Rotor Slot and Other Eccentricity Related Harmonics in a Three Phase Induction Motor with Different Rotor Cages", IEEE-Trans. on E. C. , vol. 16, no. 3, pp. 253-260, September 2001.
  3. Subhasis Nandi, Raj Mohan Bharadwaj, and Hamid A. Toliyat, "Performance Analysis of a Three-Phase Induction Motor Under Mixed Eccentricity Condition", IEEE-Trans. on E. C. , vol. 17, no. 3, September 2002.
  4. E. L. Bonaldi, L. E. Borges da Silva, G. Lambert-Torres, L. E. L. Oliveira and F. O. Assunção, "Using rough sets techniques as a fault diagnosis classifier for induction motors", IEEE 2002, 28th Annual Conf. of IECON02, vol. 4, pp. 3383-3388, 5-8 Nov. , 2002.
  5. M. L. Sin, W. L. Soong and N. Ertugrul," IM on-line condition monitoring and fault diagnosis-a survey", AUPEC, Christchurch, N. Z. , 2003.
  6. J. Faiz, I. T. Ardekanei, and H. A. Toliyat, "An Evaluation of Inductances of a Squirrel-Cage Induction Motor Under Mixed Eccentric Conditions", IEEE Trans. on E. C. , vol. 18, no. 2, pp. 252-258, June 2003.
  7. H. Hamidi, A. R. Nasiri and F. Taringoo, "Detection and Isolation of Mixed Eccentricity in Three Phase Induction Motor via Wavelet Packet Decomposition", 5th Asian Control Conf. , ASCC2004, vol. 2, pp. 1371-1376, 20-23 July 2004.
  8. Sang-Hyuk Lee, Sungshin Kim, Jang Mok Kim, "Extraction of Induction Motor Fault Characteristics in Frequency Domain and Fuzzy Entropy", 2005 IEEE Int. Conf. on Electric Machines and Drives, San-Antonio, TX, pp. 35-40.
  9. Irahis Rodriguez, Roberto Alves, "Detection of the Combination of Static and Dynamic Air gap Eccentricity in 3-Phase Induction Motors using Stator Current Monitoring", ICEM'06, Chania, Crete Island, Greece, Sept. 2-5, 2006.
  10. J. Faiz, B. M. Ebrahimi, "Mixed fault diagnosis in three-phase squirrel-cage IM using analysis of air-gap magnetic field", Progress In Electromagnetics Research, PIER 64, pp. 239–255, 2006.
  11. Jordi Cusido, Javier Rosero, Emiliano Aldabas, Juan Antonio Ortega and Luis Romeral ,"New fault detection techniques for induction motors", Electrical Power Quality and Utilization, Magazine vol. II, no. 1, pp. 39-46, 2006.
  12. M'hamed Drif, A. J. Marques Cardoso, "Instantaneous non-active power approach for air gap eccentricity fault diagnosis in three-phase induction motors", Journal of Acta Electrotechnica and Informatica, vol. 8, no. 3, pp 18–25, 2008.
  13. Ilker Ozelgin, "Analysis of magnetic flux density for airgap eccentricity and bearing faults", International Journal of Systems Applications, Engineering & Development , vol. 2, issue 4, 2008.
  14. Yountae Kim, et al, "Fault Diagnosis of AC Servo Motor with Current Signals Based on Wavelet Decomposition and Template Matching Methods", Proceedings of the 17th World Congress of The International Federation of Automatic Control, Seoul, Korea, July 6-11, 2008.
  15. Martin Blodt, et al, "Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring", IEEE-TIE, vol. 55, no. 4, pp. 1813-1822, 2008.
  16. P. V. J. Rodríguez, A. Belahcen, A. Arkkio, Antti Laiho, J. A. Antonino-Daviu," Air-gap force distribution and vibration pattern of Induction motors under dynamic eccentricity", Electr. Eng. , vol. 90, no. 3, pp. 209-218, 2008.
  17. J. Faiz, and B. M. Ebrahimi, "Static eccentricity fault diagnosis in an accelerating no-load three-phase saturated squirrel-cage induction motor", Progress In Electromagnetics Research B, vol. 10, pp. 35–54, 2008.
  18. J. Faiz B. M. Ebrahimi, B. Akin and H. A. Toliyat, "Dynamic analysis of mixed eccentricity signatures at various operating points and scrutiny of related indices for induction motors", IET Electr. Power Appl. , vol. 4, issue 1, pp. 1–16, 2010.
  19. G. G. Rogozin, D. Y. Osipov, "Induction Motor Eccentricity Diagnosis Using Impedance Spectrum and Shaft Voltage", XIX International Conference on Electrical Machines - ICEM 2010, Rome, 6-8 Sept. 2010.
  20. A. Metatla, S. Benzahioul, T. Bahi, and D. Lefebvre, "Monitoring and diagnostic methods for eccentricity faults in the induction motor", Proceedings of the International Conference on Circuits, Systems, Signals, Malta, pp. 85-91, 2010.
  21. J. R. Briso-Montiano, R. Karrelmeyer, and E. Dilger, R. Bosch, G. Stuttgart, "Simulation of Faults by means of finite element analysis in a switched reluctance Motor", Expert from the proceeding of the COMSOL Multiphysics User's Conference, Frankfurt, 2005.
  22. H. Torkamanand, and E. Afjei, "Magnetostatic field regarding analysis regarding the effect of eccentricity in switched reluctance motor", Progress In Electromagnetics Research M, vol. 8, pp. 163–180, 2009.
  23. H. Torkaman and E. Afjei, "Hybrid method of obtaining degrees of freedom for radial airgap length in SRM under normal and faulty conditions based on magnetostatic model", Progress In Electromag. Research, PIER 100, pp. 37?54, 2010.
  24. L. Chen, W. Hofmann, "Analysis of Radial Forces Based on Rotor Eccentricity of Bearingless Switched Reluctance Motors", XIX International Conference on Electrical Machines - ICEM, Rome, 2010.
  25. R. Krishnan, SRM Drives: Modeling, Simulation, Analysis, Design and Applications, Ind. Electronics Series.
  26. Xiang-Dang Xue, K. W. E. Cheng, and S. L. Ho, "Simulation of SRM Drives Using Two-Dimensional Bicubic Spline", IEEE Trans. on E. C. , vol. 17, no. 4, pp. 471-477, Dec. 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Eccentricity FEA SRM Time-Frequency Representation Wigner-Ville Distribution