Support vector machine based on chaos particle swarm optimization for fault diagnosis of rotating machine |
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| Authors: | TANG Xian-lun ZHUANG Ling QIU Guo-qing CAI Jun |
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| Institution: | Key Laboratory of Network control & Intelligent Instrument /Chongqing University of Posts and Telecommunications;Ministry of Education Chongqing University of Posts and Telecommunications;Chongqing 400065;P.R.China |
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| Abstract: | The performance of the support vector machine models depends on a proper setting of its parameters to a great extent.A novel method of searching the optimal parameters of support vector machine based on chaos particle swarm optimization is proposed.A multi-fault classification model based on SVM optimized by chaos particle swarm optimization is established and applied to the fault diagnosis of rotating machines.The results show that the proposed fault classification model outperforms the neural network trai... |
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| Keywords: | support vector machine particle swarm optimization chaos fault diagnosis |
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