A hybrid PSO-DV based intelligent method for fault diagnosis of gear-box

Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA

Volumn , Issue , 2009, Pages 451-456

  Liu, Bo ^a   Hongxia, Pan ^a  

^a NORTH UNIVERSITY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY RATE; BACK-PROPAGATION NEURAL NETWORKS; BP NEURAL NETWORKS; DECISION SUPPORTS; DIFFERENTIAL EVOLUTION ALGORITHMS; EMPIRICAL APPROACH; FASTER CONVERGENCE; FAULT CLASSIFICATION; FAULT DIAGNOSIS; FAULT SAMPLE; FAULT SIMULATORS; GEAR-BOXES; GLOBAL OPTIMUM; HYBRID INTELLIGENT METHOD; HYBRID PSO; INTELLIGENT METHOD; LOCAL MINIMUMS; LOCAL OPTIMA; MECHANICAL SYSTEMS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO ALGORITHMS; VIBRATION SIGNAL;

BACKPROPAGATION; DECISION SUPPORT SYSTEMS; FAILURE ANALYSIS; MECHANICAL ENGINEERING; MECHANICS; NEURAL NETWORKS; ROBOTICS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77951185851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIRA.2009.5423162     Document Type: Conference Paper

References (11)

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