A Robust Technique for Detection, Diagnosis, and Localization of Switching Faults in Electric Drives Using Discrete Wavelet Transform-Reference-Cited by-同舟云学术

A Robust Technique for Detection, Diagnosis, and Localization of Switching Faults in Electric Drives Using Discrete Wavelet Transform

Published:2023-01-01 Issue:1 Volume:13 Page:14-27
ISSN:2226-809X
Container-title:International Journal of Engineering and Technology Innovation
language:
Short-container-title:Int. j. eng. technol. innov.

Author:

Hari Kumar Raveendran Pillai ,Mayadevi Nanappan ,Mini Valiyakulam Prabhakaran ,Shenil Pushpangadan Sathyabhama

Abstract

Detection, diagnosis, and localization of switching faults in electric drives are extremely important for operating a large number of induction motors in parallel. This study aims to present the design and development of switching fault detection, diagnosis, and localization strategy for the induction motor drive system (IMDS) by using a novel diagnostic variable that is derived from discrete wavelet transform (DWT) coefficients. The distinctiveness of the proposed algorithm is that it can identify single/multiple switch open and short faults and locate the defective switches using a single mathematical computation. The proposed algorithm is tested by simulation in MATLAB/Simulink and experimentally validated using the LabVIEW hardware-in-the-loop platform. The results demonstrate the robustness and effectiveness of the proposed technique in identifying and locating faults.

Publisher

Taiwan Association of Engineering and Technology Innovation

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,Civil and Structural Engineering

Reference30 articles.

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