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

  • Hari Kumar Raveendran Pillai Department of Electrical Engineering, College of Engineering Trivandrum, Kerala, India
  • Mayadevi Nanappan Department of Electrical Engineering, College of Engineering Trivandrum, Kerala, India
  • Mini Valiyakulam Prabhakaran Department of Electrical Engineering, College of Engineering Trivandrum, Kerala, India
  • Shenil Pushpangadan Sathyabhama Department of Electrical Engineering, College of Engineering Trivandrum, Kerala, India
Keywords: induction motor, electric drives, discrete wavelet transform, switch open faults, switch short faults

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.

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Published
2023-01-01
How to Cite
[1]
Hari Kumar Raveendran Pillai, Mayadevi Nanappan, Mini Valiyakulam Prabhakaran, and Shenil Pushpangadan Sathyabhama, “A Robust Technique for Detection, Diagnosis, and Localization of Switching Faults in Electric Drives Using Discrete Wavelet Transform”, Int. j. eng. technol. innov., vol. 13, no. 1, pp. 14-27, Jan. 2023.
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Articles