Multi-fault diagnosis study on roller bearing based on multi-kernel support vector machine with chaotic particle swarm optimization

Measurement: Journal of the International Measurement Confederation

Volumn 47, Issue 1, 2014, Pages 576-590

  Chen, Fafa ^a,b   Tang, Baoping ^a   Song, Tao ^a   Li, Li ^b  

^a CHONGQING UNIVERSITY   (China)

^b CHINA THREE GORGES UNIVERSITY   (China)

Author keywords

Chaotic search; Fault diagnosis; Multi kernel support vector machine; Particle swarm optimization; Roller bearing

Indexed keywords

FAILURE ANALYSIS; PARTICLE SWARM OPTIMIZATION (PSO); ROLLER BEARINGS; SIGNAL PROCESSING;

CHAOTIC PARTICLE SWARM OPTIMIZATIONS; CHAOTIC SEARCH; EMPIRICAL MODE DECOMPOSITION; GENERALIZATION ABILITY; INTELLIGENT FAULT DIAGNOSIS MODEL; MULTI-FAULT DIAGNOSIS; MULTI-KERNEL; ROLLER BEARING FAULT;

SUPPORT VECTOR MACHINES;

EID: 84885342190     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2013.08.021     Document Type: Article

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