Broken bar fault diagnosis for induction machines under load variation condition using discrete Wavelet transform

Shi, Pu, Chen, Zheng, Vagapov, Yuriy, Davydova, Anastasia and Lupin, Sergey (2015) Broken bar fault diagnosis for induction machines under load variation condition using discrete Wavelet transform. In: 12th IEEE East-West Design and Test Symposium EWDTS 2014, 26-29 September 2014, Kiev.

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Abstract

The paper presents a new approach for detection of broken rotor bar fault in squirrel cage induction motors operating under varying load conditions. A mathematical model used in the presented method was developed using winding function approach to provide indication references for induction motor parameters under load variation. The model shows a strong relationship between broken rotor bar fault and stator current. The method is based on analysis of stator current using discrete wavelet transform. To verify the proposed method a squirrel cage induction motor with 1, 2 and 3 broken bars at no-load, half- and full-load conditions was investigated. Obtained experimental results confirmed the validity of the proposed approach.

Item Type: Conference or Workshop Item (Paper)
Keywords: • broken bar fault diagnosis, • induction machines, • load variation condition, • discrete wavelet transform, • broken rotor bar fault detection, • squirrel cage induction motors, • varying load conditions, • mathematical model, • winding function
Divisions: Applied Science, Computing and Engineering
Depositing User: Hayley Dennis
Date Deposited: 19 Nov 2019 15:49
Last Modified: 19 Nov 2019 15:56
URI: http://glyndwr.repository.guildhe.ac.uk/id/eprint/17524

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