Gear fault diagnosis method based on the integration of empirical mode decomposition and cepstrum analysis - Details

Author：

Bing, Luo (Bing, Luo.) | Wentong, Yang (Wentong, Yang.) | Zhifeng, Liu (Zhifeng, Liu.) (Scholars：刘志峰) | Yongsheng, Zhao (Yongsheng, Zhao.) (Scholars：赵永胜) | Ligang, Cai (Ligang, Cai.) (Scholars：蔡力钢)

Indexed by：

EI Scopus

Abstract：

Gear　is　the　most　common　mechanical　transmission　equipment.　Therefore,　gear　fault　diagnosis　is　of　much　significance.　In　this　article,　a　gear　fault　diagnosis　method　based　on　the　integration　of　empirical　mode　decomposition　and　cepstrum　is　proposed　by　introducing　empirical　mode　decomposition　and　cepstrum　into　gear　fault　analysis.　Firstly　EMD　is　used　to　decompose　the　gear　vibration　signal　finite　number　of　intrinsic　mode　functions　and　a　residual　error　item.　To　do　gear　fault　diagnosis,　cepstrum　analysis　is　carried　upon　those　intrinsic　mode　functions　to　extract　feature　information　from　the　vibration　signal.　The　results　of　the　study　on　simulated　and　experimental　signals　show　that　this　method　is　better　than　the　cepstrum　method　and　it　can　precisely　locate　the　site　of　gear　failure.　©　(2013)　Trans　Tech　Publications,　Switzerland.

Keyword：

Gears Functions Signal processing Failure analysis Geotechnical engineering

Author Community：

[ 1 ] [Bing, Luo]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Wentong, Yang]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Zhifeng, Liu]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Yongsheng, Zhao]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Ligang, Cai]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China