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Arabian Journal for Science and Engineering
Published in: Arabian Journal for Science and Engineering 3/2020

27-05-2019 | Research Article - Electrical Engineering

Fuzzy-Based Intelligent Algorithm for Diagnosis of Drive Faults in Induction Motor Drive System

Authors: N. Mayadevi, V. P. Mini, R. Hari Kumar, Shruti Prins

Published in: Arabian Journal for Science and Engineering | Issue 3/2020

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Abstract

This paper presents the design and development of a novel, fuzzy-based algorithm for the detection and diagnosis of drive faults in an induction motor drive system (IMDS). A detailed investigation on the performance of IMDS under various faults and load conditions revealed that the combination of root-mean-square value and total harmonic distortion (THD) of the stator currents can accurately transpire various fault conditions. In this work, the efficacy of fuzzy logic is employed to characterize and diagnose the fault since it is difficult to find crisp boundaries for the correlation between the extracted parameters and fault conditions. The performance of the developed algorithm is tested and verified using simulation in MATLAB Simulink.
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Metadata
Title
Fuzzy-Based Intelligent Algorithm for Diagnosis of Drive Faults in Induction Motor Drive System
Authors
N. Mayadevi
V. P. Mini
R. Hari Kumar
Shruti Prins
Publication date
27-05-2019
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 3/2020
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-019-03935-2

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