Induction Motor Fault Diagnosis Using Variance Computation and Wavelet Transform
محل انتشار: بیست و چهارمین کنفرانس بین المللی برق
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,843
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شناسه ملی سند علمی:
PSC24_011
تاریخ نمایه سازی: 28 اسفند 1388
چکیده مقاله:
The aim of this paper is to present a waveletbased method for broken rotor bar fault detection in induction machines combined with variance computation. The frequencydomain methods which are commonly used need speed information or accurate slip estimation for frequency components localization in any spectrum. Nevertheless, the fault frequency bandwidth can be well defined for any induction machine due to numerous previous investigations. The proposed approach consists in the variance evaluation of this known bandwidth with time-domain analysis using the discrete wavelet transform (DWT). Furthermore, experimental results show this is truly an excellent approach for the detection of the broken rotor bars in squirrel-cage induction motors.
کلیدواژه ها:
induction motor ، fault detection ، Broken rotor bars ، discrete wavelet transform (DWT) ، variance computation
نویسندگان
Ramin Salehi Arashloo
Dept. of Elec. Eng., Centre of Excellence for Power Systems Automation and OperationUniversity of Science & Technology
Alireza Jalilian
Dept. of Elec. Eng., Centre of Excellence for Power Systems Automation and OperationUniversity of Science & Technology