Rolling bearing fault diagnosis under variable conditions using hilbert-huang transform and singular value decomposition

Mathematical Problems in Engineering

Volumn 2014, Issue , 2014, Pages

  Liu, Hongmei ^a   Wang, Xuan ^a   Lu, Chen ^a,b  

^a BEIHANG UNIVERSITY   (China)

^b Science and Technology on Reliability and Environmental Engineering Laboratory   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; FEATURE EXTRACTION; IMAGE RETRIEVAL; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; ROLLER BEARINGS; SIGNAL PROCESSING; SINGULAR VALUE DECOMPOSITION; SUPPORT VECTOR MACHINES;

DIFFERENT OPERATING CONDITIONS; ELMAN NEURAL NETWORK; EXTREME LEARNING MACHINE; FAULT DIAGNOSIS METHOD; HILBERT HUANG TRANSFORMS; INSTANTANEOUS AMPLITUDE; ROLLING BEARINGS; VARIABLE CONDITIONS;

FAULT DETECTION;

EID: 84934970878     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2014/765621     Document Type: Article

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