Automatic Bearing Fault Feature Extraction Method via PFDIC and DBAS
نویسندگان
چکیده
منابع مشابه
Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform
Mechanical anomaly is a major failure type of induction motor. It is of great value to detect the resulting fault feature automatically. In this paper, an ensemble super-wavelet transform (ESW) is proposed for investigating vibration features of motor bearing faults. The ESW is put forward based on the combination of tunable Q-factor wavelet transform (TQWT) and Hilbert transform such that faul...
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Wu Deng 1,2,3,4,5, Huimin Zhao 1,2,3,4,5,*, Xinhua Yang 1,5 and Chang Dong 1 1 Software Institute, Dalian Jiaotong University, Dalian 116028, China; [email protected] (W.D.); [email protected] (X.Y.); [email protected] (C.D.) 2 Sichuan Provincial Key Laboratory of Process Equipment and Control, Sichuan University of Science and Engineering, Zigong 64300, China 3 The State Key Laboratory o...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2021
ISSN: 1563-5147,1024-123X
DOI: 10.1155/2021/6655081