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

被引：19
|
作者：
Mayadevi, N. [1 ]
Mini, V. P. [1 ]
Hari Kumar, R. [1 ]
Prins, Shruti [1 ]
机构：
[1] Coll Engn Trivandrum, Thiruvananthapuram, India
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2020年 / 45卷 / 03期
关键词：
Fault detection; Fuzzy logic; Induction motor; Motor drives; Total harmonic distortion; MACHINE; VOLTAGE;
D O I：
10.1007/s13369-019-03935-2
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页码：1385 / 1395
页数：11
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