Monitoring and diagnosis of external faults in three phase induction motors using artificial neural network

El Sayed M Tag Eldin, Hassan R. Emara, Essam M. Aboul-Zahab, Shady Khalil

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

12 Citations (Scopus)

Abstract

This paper addresses the possibility of integration of an external motor faults (e.g., phase failure, unbalanced voltage, locked rotor, undervoltage, overvoltage, phase sequence reversal of supply voltage, mechanical overload) monitoring and diagnostic technique into batch simulation with a digital protection set by using an artificial neural network (ANN) for a three-phase induction motor. The proposed set-up has been simulated using"Matlab/ Simulink" Software and tested for external motor faults. The simulated results clearly show that well-trained neural networks can precisely of early fault detection, diagnosis of external faults induction motor, also validating the proposed setup as a simple, reliable and effective protection for the three-phase induction motor fault identification scheme using an artificial neural network (ANN).

Original languageEnglish
Title of host publication2007 IEEE Power Engineering Society General Meeting, PES
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE Power Engineering Society General Meeting, PES - Tampa, FL, United States
Duration: 24 Jun 200728 Jun 2007

Other

Other2007 IEEE Power Engineering Society General Meeting, PES
CountryUnited States
CityTampa, FL
Period24/6/0728/6/07

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Keywords

  • Artificial neural networks
  • Fault diagnostics
  • Induction motor
  • Rotor-cage monitoring and external motor fault

ASJC Scopus subject areas

  • Energy(all)

Cite this

Eldin, E. S. M. T., Emara, H. R., Aboul-Zahab, E. M., & Khalil, S. (2007). Monitoring and diagnosis of external faults in three phase induction motors using artificial neural network. In 2007 IEEE Power Engineering Society General Meeting, PES [4275351] https://doi.org/10.1109/PES.2007.385469