Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification

Journal of Sound and Vibration

Volumn 385, Issue , 2016, Pages 389-401

  Liu, Yongbin ^a   He, Bing ^a   Liu, Fang ^a   Lu, Siliang ^a   Zhao, Yilei ^a  

^a ANHUI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); FAULT DETECTION;

EIGEN DECOMPOSITION; FEATURE FUSION METHOD; HIGH-DIMENSIONAL FEATURE SPACE; INTELLIGENT FAULT DIAGNOSIS; JOINT APPROXIMATE DIAGONALIZATION OF EIGEN-MATRICES; MECHANICAL SYSTEMS; MULTI-CLASS SUPPORT VECTOR MACHINES; WITHIN CLASS SCATTER;

ROLLER BEARINGS;

EID: 84992184533     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2016.09.018     Document Type: Article

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