A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings

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

29 Scopus Citations
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Author(s)

  • Wei Fan
  • Qiang Zhou
  • Jian Li
  • Zhongkui Zhu

Detail(s)

Original languageEnglish
Pages (from-to)1563-1572
Journal / PublicationIEEE Transactions on Automation Science and Engineering
Volume15
Issue number4
Online published20 Jul 2017
Publication statusPublished - Oct 2018

Abstract

This paper proposes a wavelet-based statistical signal detection approach for monitoring and diagnosis of bearing compound faults at an early stage. The bearing vibration signal is decomposed by an orthonormal discrete wavelet transform to obtain its energy dispersions at multiple levels. We investigate the statistical properties of the decomposed signal energy under both the normal and faulty conditions, based on which a generalized likelihood ratio test is developed. An exponentially weighted moving average control chart is then constructed to detect faults at an early stage. Simulation studies and a real case study are conducted to demonstrate the effectiveness of the proposed method. Furthermore, the comparison studies show that the proposed method outperforms the empirical mode decomposition method and Hilbert envelope spectrum analysis method.

Research Area(s)

  • Compound faults monitoring and diagnosis, Compounds, discrete wavelet transform (DWT), Discrete wavelet transforms, generalized likelihood ratio test (GLRT), Monitoring, rolling bearing, statistical signal detection, Vibrations, Wavelet analysis

Citation Format(s)

A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings. / Fan, Wei; Zhou, Qiang; Li, Jian; Zhu, Zhongkui.

In: IEEE Transactions on Automation Science and Engineering, Vol. 15, No. 4, 10.2018, p. 1563-1572.

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