Sparse signal representations of bearing fault signals for exhibiting bearing fault features

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

4 Scopus Citations
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Author(s)

  • Wei Peng
  • Dong Wang
  • Changqing Shen
  • Dongni Liu

Detail(s)

Original languageEnglish
Article number1835127
Journal / PublicationShock and Vibration
Volume2016
Publication statusPublished - 2016

Link(s)

Abstract

Sparse signal representations attract much attention in the community of signal processing because only a few coefficients are required to represent a signal and these coefficients make the signal understandable. For bearing faults' diagnosis, bearing faults signals collected from transducers are often overwhelmed by strong low-frequency periodic signals and heavy noises. In this paper, a joint signal processing method is proposed to extract sparse envelope coefficients, which are the sparse signal representations of bearing fault signals. Firstly, to enhance bearing fault signals, particle swarm optimization is introduced to tune the parameters of wavelet transform and the optimal wavelet transform is used for retaining one of the resonant frequency bands. Thus, sparse wavelet coefficients are obtained. Secondly, to reduce the in-band noises existing in the sparse wavelet coefficients, an adaptive morphological analysis with an iterative local maximum detection method is developed to extract sparse envelope coefficients. Simulated and real bearing fault signals are investigated to illustrate how the sparse envelope coefficients are extracted. The results show that the sparse envelope coefficients can be used to represent bearing fault features and identify different localized bearing faults.

Research Area(s)

Citation Format(s)

Sparse signal representations of bearing fault signals for exhibiting bearing fault features. / Peng, Wei; Wang, Dong; Shen, Changqing; Liu, Dongni.

In: Shock and Vibration, Vol. 2016, 1835127, 2016.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review