Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques

Highlights：

• This paper proposes a robust condition monitoring methodology for rolling element bearings.

• It employs an empirical mode decomposition (EMD)-based de-noising technique.

• It also utilizes discrete wavelet packet transform (DWPT)-based envelope analysis.

• This paper explores the impact of sub-band signals decomposed by the DWPT technique.

• The proposed scheme outperforms other conventional methods in MPR values.

摘要

•This paper proposes a robust condition monitoring methodology for rolling element bearings.•It employs an empirical mode decomposition (EMD)-based de-noising technique.•It also utilizes discrete wavelet packet transform (DWPT)-based envelope analysis.•This paper explores the impact of sub-band signals decomposed by the DWPT technique.•The proposed scheme outperforms other conventional methods in MPR values.

论文关键词：Acoustic emission,Condition monitoring,Discrete wavelet packet transform,Empirical mode decomposition,Envelope analysis,Rolling element bearings,AE,acoustic emission,BCI,bearing with a crack on its inner raceway,BCO,bearing with a crack on its outer raceway,BCR,bearing with a crack on its roller,BPFI,ball pass frequency of the inner raceway,BPFO,ball pass frequency of the outer raceway,BSF,ball spin frequency,DWPT,discrete wavelet packet transform,EMD,empirical mode decomposition,IMF,intrinsic mode function,MPR,mean-peak ratio,PDF,probability density function,RPM,revolutions per minute,SNR,signal-to-noise ratio,WT,wavelet transform

论文评审过程：Received 10 November 2014, Revised 24 July 2015, Accepted 27 July 2015, Available online 1 August 2015, Version of Record 6 September 2015.