Rolling element bearing fault detection using an improved combination of Hilbert and wavelet transforms

Journal of Mechanical Science and Technology

Volumn 23, Issue 12, 2009, Pages 3292-3301

  Wang, Dong ^a   Miao, Qiang ^a   Fan, Xianfeng ^a   Huang, Hong Zhong ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Fault detection; Fault detection capability evaluation; Hilbert transform; Rolling element bearings; Wavelet transform

Indexed keywords

DECISION MAKING; EXTRACTION; ROLLER BEARINGS; WAVELET TRANSFORMS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); FAULT DETECTION; MAINTENANCE; MATHEMATICAL TRANSFORMATIONS; ROLLING;

BEARING FAULT DETECTION; BEARING FAULT SIGNATURE; DETECTION CAPABILITY; EXTRACTION CAPABILITY; HILBERT TRANSFORM; MECHANICAL COMPONENTS; ROLLING ELEMENT BEARING; WORKING ENVIRONMENT; ANALYSIS RESULTS; FAULT SIGNATURE; HILBERT; MOTOR BEARINGS; RAIL VEHICLES; ROLLING ELEMENT BEARINGS; ROTATING MACHINE;

FAULT DETECTION; WAVELET TRANSFORMS;

EID: 74749101798     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-009-0807-4     Document Type: Article

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