Fault diagnosis of rotating machinery based on multisensor information fusion using SVM and time-domain features

Shock and Vibration

Volumn 2014, Issue , 2014, Pages

  Jiang, Ling Li ^a   Yin, Hua Kui ^a   Li, Xue Jun ^a   Tang, Si Wen ^a  

^a HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); CRACKS; INFORMATION FUSION; ROLLER BEARINGS; ROTATING MACHINERY;

FAULT DIAGNOSIS OF ROTATING MACHINERIES; IDENTIFICATION OF ROTORS; MULTI-SENSOR INFORMATION FUSION; ROLLING BEARINGS; ROOT MEAN SQUARE; SENSITIVE FEATURES; STANDARD DEVIATION; VIBRATION DATA;

SUPPORT VECTOR MACHINES;

EID: 84898026077     PISSN: 10709622     EISSN: None     Source Type: Journal    
DOI: 10.1155/2014/418178     Document Type: Article

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