Diagnosis of Broken Bars in V/F Control Induction Motor Drive Using Wavelets and EEV Estimation for Electric Vehicle Applications-Reference-Cited by-同舟云学术

Diagnosis of Broken Bars in V/F Control Induction Motor Drive Using Wavelets and EEV Estimation for Electric Vehicle Applications

Published:2022-09-05 Issue: Volume:2022 Page:1-13
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:International Transactions on Electrical Energy Systems

Author:

Ramu Senthil Kumar¹^ORCID,Irudayaraj Gerald Christopher Raj²,Devarajan Gunapriya³^ORCID,Indragandhi V.⁴,Subramaniyaswamy V.⁵^ORCID,Sam Alaric J.⁶^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore 641042, India

2. Department of Electrical and Electronics Engineering, PSNA College of Engineering and Technology, Dindigul 624622, India

3. Department of Electrical and Electronics Engineering, Sri Eshwar College of Engineering, Coimbatore 641202, India

4. School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India

5. School of Computing, SASTRA Deemed University, Thanjavur 613401, India

6. Department of Electrical and Computer Engineering, Wollega University, Nekemte, Ethiopia

Abstract

The induction motor (IM) defect diagnosis has been an important field of research in recent years. The development in control circuits for IM has piqued the interest of industrialists and researchers. This paper presents a method for detecting and quantifying broken rotor bar (BRB) faults via wavelets and energy Eigen value (EEV) estimation in voltage/frequency control-fed IM. The fast Fourier transform (FFT) extracts the signal’s amplitude and frequency components, while the discrete wavelet transform (DWT) decomposes it. In this paper, the energy estimation for each level of breakdown and the method to overcome the diagnose faults are explained. The EEV of the motor current of the signal determines the fault’s severity and provides a better method for identifying the faults. The usage of a single current sensor is a gain of this technology. With a fluctuating load, we can identify the issue and the number of broken bars via online. After processing of DWT, the faulty BRB’s stator current signal is suppressed to 91% in amplitude when compared to existing techniques. Simulation and experimental results have proved that the proposed method’s stability, durability, and resilience.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

http://downloads.hindawi.com/journals/itees/2022/9474640.pdf

Reference35 articles.

1. Design and Application of a Fault Diagnosis and Monitoring System for Electric Vehicle Charging Equipment Based on Improved Deep Belief Network

2. Condition Monitoring and Fault Diagnosis of Induction Motor

3. Diagnosis of induction motor faults using the motor current normalized residual harmonic analysis method

4. Induction motor broken rotor bar fault location detection through envelope analysis of start-up current using Hilbert transform

5. Discrete wavelet transform and energy eigen value for rotor bars fault detection in variable speed field-oriented control of induction motor drive

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