Fault tolerance of stator turn fault for three phase induction motors star-connected using artificial neural network

Shady Khalil, Haitham Abu-Rub, M. S. Saad, E. M. Aboul-Zahab, Atif Iqbal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper proposes the possibility of developing incipient fault diagnosis and remedial operating strategies, which enable a fault tolerant induction motor star-connected winding with neutral point earthed through a controllable impedance using artificial neural network (ANN). The fault detection and diagnosis is achieved by using a strategy that detects stator turn fault, isolates the faulty components, identifies fault severity and reduces the propagation speed of the incipient stator winding fault. The fault tolerance is obtained by controlled neutral grounding resistor. This allows for continuous free operation of the induction motor even with stator winding faults. The advantage of this strategy is that it does not require any change in the standard drive system. Experimental results demonstrate the validity of the proposed technique.

Original languageEnglish
Title of host publication2013 28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013
Pages2336-2342
Number of pages7
DOIs
Publication statusPublished - 2013
Event28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013 - Long Beach, CA, United States
Duration: 17 Mar 201321 Mar 2013

Other

Other28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013
CountryUnited States
CityLong Beach, CA
Period17/3/1321/3/13

Fingerprint

Fault tolerance
Induction motors
Stators
Stars
Neural networks
Failure analysis
Electric grounding
Fault detection
Resistors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Khalil, S., Abu-Rub, H., Saad, M. S., Aboul-Zahab, E. M., & Iqbal, A. (2013). Fault tolerance of stator turn fault for three phase induction motors star-connected using artificial neural network. In 2013 28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013 (pp. 2336-2342). [6520621] https://doi.org/10.1109/APEC.2013.6520621

Fault tolerance of stator turn fault for three phase induction motors star-connected using artificial neural network. / Khalil, Shady; Abu-Rub, Haitham; Saad, M. S.; Aboul-Zahab, E. M.; Iqbal, Atif.

2013 28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013. 2013. p. 2336-2342 6520621.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Khalil, S, Abu-Rub, H, Saad, MS, Aboul-Zahab, EM & Iqbal, A 2013, Fault tolerance of stator turn fault for three phase induction motors star-connected using artificial neural network. in 2013 28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013., 6520621, pp. 2336-2342, 28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013, Long Beach, CA, United States, 17/3/13. https://doi.org/10.1109/APEC.2013.6520621
Khalil S, Abu-Rub H, Saad MS, Aboul-Zahab EM, Iqbal A. Fault tolerance of stator turn fault for three phase induction motors star-connected using artificial neural network. In 2013 28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013. 2013. p. 2336-2342. 6520621 https://doi.org/10.1109/APEC.2013.6520621
Khalil, Shady ; Abu-Rub, Haitham ; Saad, M. S. ; Aboul-Zahab, E. M. ; Iqbal, Atif. / Fault tolerance of stator turn fault for three phase induction motors star-connected using artificial neural network. 2013 28th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2013. 2013. pp. 2336-2342
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