Convolutional Sparse Coding Using Pathfinder Algorithm-Optimized Orthogonal Matching Pursuit With Asymmetric Gaussian Chirplet Model in Bearing Fault Detection

Sparse representation has been widely used in bearing fault impact detection, which can find the impact that best matches the fault waveform from the pre-defined dictionary and recover the fault impulse waveform. However, the current dictionary of sparse representation and the efficiency of sparse r...

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Veröffentlicht in:	IEEE sensors journal Jg. 21; H. 16; S. 18132 - 18145
Hauptverfasser:	Zhou, Qiuyang, Zhang, Yuhui, Yi, Cai, Lin, Jianhui, He, Liu, Hu, Qiwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms asymmetric Gaussian chirplet model Asymmetry Axleboxes Bearing fault diagnosis Coding Convolution Convolutional codes convolutional sparse coding Dictionaries Encoding Fault detection Fault diagnosis Kurtosis Matched pursuit Matching Matching pursuit algorithms orthogonal matching pursuit pathfinder algorithm Representations Signal processing Vibrations Waveforms Wavelet transforms
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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