Commenced in January 2007
Paper Count: 31742
An Investigative Study into Observer based Non-Invasive Fault Detection and Diagnosis in Induction Motors
Abstract:A new observer based fault detection and diagnosis scheme for predicting induction motors- faults is proposed in this paper. Prediction of incipient faults, using different variants of Kalman filter and their relative performance are evaluated. Only soft faults are considered for this work. The data generation, filter convergence issues, hypothesis testing and residue estimates are addressed. Simulink model is used for data generation and various types of faults are considered. A comparative assessment of the estimates of different observers associated with these faults is included.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1332098Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1702
 Nandi S.,Toliyat H.A, Ziaodong Li, "condition monitoring and fault diagnosis of electrical machines - a review," in IEEE trans. on Energy Conv, vol. 20, no. 4, pp. 709-729, Dec. 2005.
 Bilal Akin, Umut Organer, Aydin Ersak, Mehrdad Ehsani, "Simple derivative-free nonlinear state observer for sensorless ac drives", IEEE/ASME Trans. on mechatronics, pp. 634-643, Vol. 11, No. 5, Oct. 2006.
 Debasmita Basak, Arwind Tiwari, S..P. Das "Fault diagnosis and condition monitoring of electrical machines - A Review" ,IEEE international conference p.3061 - 3066,ICIT-2006, 15-17 Dec. 2006
 P. Vas "Sensorless Vector and Direct Torque Control" New York O. University Press, (1998)
 Marcin Witczak, Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems, from Analytical to Soft Computing approaches, p.56, Springer , 2007.
 Simo S├ñrkk├ñ, "On Unscented Kalman Filtering for state estimation of Continues time Non-Linear Systems," IEEE transactions on automatic contol, Vol.24, No.9, September 2007, p.
 J. Prakash, S.C. Patwardhan, S. Narasimhan, "A supervisory approach to fault tolerant control of linear multivarioable systems", Ind. Eng. Chem. Res, Vol.. 41, pp. 2270-2281, 2002.
 R.Isermann, Fault -Diagnosis Systems, An introduction from Fault detection to Fault Tolerance, book, p. 210 Springer, 2006.