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Comparison of Fault Detection Techniques for Induction Motors

by Amir Ahmed Qazi, Jawaid Daudpoto, Salman Ahmed Shaikh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 38
Year of Publication: 2021
Authors: Amir Ahmed Qazi, Jawaid Daudpoto, Salman Ahmed Shaikh

Amir Ahmed Qazi, Jawaid Daudpoto, Salman Ahmed Shaikh . Comparison of Fault Detection Techniques for Induction Motors. International Journal of Computer Applications. 183, 38 ( Nov 2021), 13-19. DOI=10.5120/ijca2021921778

@article{ 10.5120/ijca2021921778,
author = { Amir Ahmed Qazi, Jawaid Daudpoto, Salman Ahmed Shaikh },
title = { Comparison of Fault Detection Techniques for Induction Motors },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2021 },
volume = { 183 },
number = { 38 },
month = { Nov },
year = { 2021 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2021921778 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:19:00.085369+05:30
%A Amir Ahmed Qazi
%A Jawaid Daudpoto
%A Salman Ahmed Shaikh
%T Comparison of Fault Detection Techniques for Induction Motors
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 38
%P 13-19
%D 2021
%I Foundation of Computer Science (FCS), NY, USA

In the era of twenty-first century, induction motor plays a dominant role in industrial processes and essentially run out 40 to 50 % of total energy demand. Accordingly, their safety, durability, and efficiency are of major concern. Faults developing in induction motor necessitates significant consideration as they eradicate its operation and reduce the mean life. In this research, the most widely used MCSA that captures stator current signatures and acceleration-based vibration diagnosis techniques are practically investigated employing low-cost sensors. Moreover,the comparative analysis is performed to find an effective method for detection of faults, efficiently and persuade motor safety and reliable operation.

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Index Terms

Computer Science
Information Sciences


Motor Current Signature Analysis (MSCA) Fast Fourier Transform (FFT) Condition Monitoring (CM).