Vibration signal demodulation and bearing fault detection: A clustering-based segmentation method

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 228, Issue 11, 2014, Pages 1888-1899

  Hou, Shumin ^a,b   Liang, Ming ^a   Zhang, Yi ^a   Li, Chuan ^a,c  

^a UNIVERSITY OF OTTAWA   (Canada)

^b ZEC Wind Power ^*  (Canada)

^c CHONGQING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

Author keywords

bearings; Clustering based segmentation; fault detection; signal demodulation; vibration signal

Indexed keywords

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); FAULT DETECTION; FREQUENCY BANDS; GAUSSIAN NOISE (ELECTRONIC);

BEARING FAULT DETECTION; DEMODULATION METHOD; RESONANCE DEMODULATION; RESONANCE FREQUENCIES; SEGMENTATION METHODS; SIGNAL DEMODULATION; VIBRATION SIGNAL; VIBRATION SIGNAL ANALYSIS;

DEMODULATION;

EID: 84903977623     PISSN: 09544062     EISSN: 20412983     Source Type: Journal    
DOI: 10.1177/0954406213514960     Document Type: Article

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