Title :
Broken bar fault diagnosis for induction machines under load variation condition using discrete wavelet transform
Author :
Pu Shi ; Zheng Chen ; Vagapov, Yuriy ; Davydova, Anastasia ; Lupin, Sergey
Author_Institution :
Glyndwr Univ., Wrexham, UK
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.
Keywords :
discrete wavelet transforms; fault diagnosis; mathematical analysis; squirrel cage motors; broken bar fault diagnosis; broken rotor bar fault detection; discrete wavelet transform; induction machines; load variation condition; mathematical model; squirrel cage induction motors; stator current; varying load conditions; winding function approach; Bars; Indexes; Induction motors; Rotors; Stators; Torque;
Conference_Titel :
Design & Test Symposium (EWDTS), 2014 East-West
Conference_Location :
Kiev
DOI :
10.1109/EWDTS.2014.7027059