Diagnosis of Stator Winding Short Circuit Fault in Three Phase Squirrel Cage Induction Machine


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


The objective of this paper is stator winding fault detection in three phase squirrel cage induction motor using Motor Current Signature Analysis (MCSA). A prototype model of the motor has been designed to study the stator winding faults through simulation and experimentation. Simulation has been carried out using MagNet 6.11.2. The simulated stator winding faults are inter-turn, phase-to-phase, open turn in a phase. The current signatures of simulation and hardware has been compared.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Three Phase Squirrel Cage Induction Motor (Three Phase SCIM); Finite Element Method (FEM); Fast Fourier Transform (FFT); Machine Current Signature Analysis (MCSA); Peak Variation Response (PVR)

Full Text:

PDF


References


Ahcène Bouzida, Omar Touhami, Rachid Ibtiouen, Adel Belouchrani, Maurice Fadel, and A. Rezzoug “Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform”. IEEE Transactions on Industrial Electronics, vol. 58, no. 9, September 2011.

Amine Yazidi, Member, IEEE, Humberto Henao. “A Web-Based Remote Laboratory for Monitoring and Diagnosis of AC Electrical Machines” IEEE transactions on industrial electronics, vol. 58, no. 10, October 2011.

Collamatit L, Filippettit,G; Fanceschini S', Piran, C Tassod “Induction Machine Stator Fault alp-Line Diagnosis based on LabVIE'W Enviroment”. 0-7803-31-09-5/96/$5.00 1996 IEEE.

Jordi Cusidó, Student Member, IEEE, Luis Romeral, Member, IEEE, Juan A. Ortega, Member, IEEE, Javier A. Rosero, and Antonio García Espinosa, Member, IEEE “Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition”. IEEE Transactions on Industrial Electronics, Vol. 55, NO. 2, February 2008.

Stephen Nawrocki, Lei Hao, Xidong Tang General Motor R&D Center, Warren MI. “Modeling & Analysis of Weld Short Faults of Bar-Wound Propulsion IPM Machine Part II: Phase-to-Phase Short” 978-1-61284-247-9/11/2011 IEEE.

Andrian CEBAN, Remus PUSCA, Raphael ROMARY and Jean- Philippe LECOINTE “Diagnosis Of Inter-Turn Short Circuit Fault In Induction Machine “Annals of the University of Craiova, Electrical Engineering series, No. 35, pp.103-110,2011; ISSN 1842-4805

Arun Gandhi, Timothy Corrigan and Leila Parsa,” Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors,” IEEE Trans. Ind. Electron., vol. 58, no. 5, pp.1564-1575,May 2011.

Andrian CEBAN, Remus PUSCA, Raphael ROMARY and Jean- Philippe LECOINTE,” Diagnosis Of Inter- Turn Short Circuit Fault In Induction Machine,” Annals of the University of Craiova, Electrical Engineering series, No. 35, 2011; ISSN 1842-4805, pp 103-110.

Tallam, R. M., Lee, S. B., Stone, G. C., Kliman, G. B., Yoo, J., Habetler, T. G., and Harley, R. G., “A survey of methods for detection of stator-related faults in induction machines”, IEEE Trans. on Ind. Appli., Vol. 43, No. 4, pp.920-933, 2007.

Nandi, S., Toliyat, H. A., and Li, X., “Condition monitoring and fault diagnosis of electrical motors – a review”, IEEE Trans. on Energy Conversion, Vol. 20, No. 4, pp. 719-729, 2005.

Grubic, S., Aller, J. M., Lu, B. and Habetler, T. G., A survey of testing and monitoring methods for stator insulation systems of low-voltage induction machines focusing on turn insulation problems, IEEE Trans. on Indus. Elec. Vol. 55, No. 12, pp. 4127-4136, 2008.

Thomson, W. T. and Fenger, M., “Current signature analysis to detect induction motor faults”, IEEE Industry Applications Mag., pp. 26-34, 2001.

Electrical machine design by .K.Swahney,second edition


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize