ANN-based system for a discrimination between unbalanced supply voltage and phase lossin induction motors

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

Abstract

It is documented that almost 98% of all voltage generated by electric utilities has up to 3% unbalance. Single phasing fault deserves special attention since phase loss is considered the worst case of unbalanced supply voltage. This paper focuses on unbalanced supply condition diagnosis and discrimination between an unbalance in the supply and phase loss fault. The discrimination will be based on the ratio of third harmonic to fundamental Fast Fourier Transform (FFT) magnitude components (RTHF-FFT) of the three-phase stator line currents and supply voltages under different load conditions and using artificial neural network (ANN). The proposed approach achieves high accuracy in detecting the unbalanced supply voltage condition in induction motor and identifying the level of severity of the fault. In addition, the proposed algorithm will discriminate between the effects of unbalanced supply voltage and those due to phase losses fault. The paper proposed a reliable approach for detection and diagnosis of unbalanced supply voltage condition. Possible loss of winding insulation under different percentages of unbalanced supply voltages will be predicted which could help preventing sudden failure of the motor during operation. The approach will be proved through experimental validation.

Original languageEnglish
Title of host publication7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014
PublisherInstitution of Engineering and Technology
ISBN (Print)9781849198158
Publication statusPublished - 2014
Event7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014 - Manchester, United Kingdom
Duration: 8 Apr 201410 Apr 2014

Other

Other7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014
CountryUnited Kingdom
CityManchester
Period8/4/1410/4/14

Fingerprint

Induction motors
Neural networks
Electric potential
Fast Fourier transforms
Electric utilities
Stators
Insulation

Keywords

  • ANN
  • Fault detection
  • Induction motor
  • Phase losses fault
  • Unbalanced supply voltage

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Khalil, S., Abu-Rub, H., & Iqbal, A. (2014). ANN-based system for a discrimination between unbalanced supply voltage and phase lossin induction motors. In 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014 Institution of Engineering and Technology.

ANN-based system for a discrimination between unbalanced supply voltage and phase lossin induction motors. / Khalil, Shady; Abu-Rub, Haitham; Iqbal, Atif.

7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014. Institution of Engineering and Technology, 2014.

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

Khalil, S, Abu-Rub, H & Iqbal, A 2014, ANN-based system for a discrimination between unbalanced supply voltage and phase lossin induction motors. in 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014. Institution of Engineering and Technology, 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014, Manchester, United Kingdom, 8/4/14.
Khalil S, Abu-Rub H, Iqbal A. ANN-based system for a discrimination between unbalanced supply voltage and phase lossin induction motors. In 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014. Institution of Engineering and Technology. 2014
Khalil, Shady ; Abu-Rub, Haitham ; Iqbal, Atif. / ANN-based system for a discrimination between unbalanced supply voltage and phase lossin induction motors. 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014. Institution of Engineering and Technology, 2014.
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