WANG Hua-zhong, ZHANG Xie-shen, YU Jin-shou~*. Fault Diagnosis Based on Support Vector Machine[J]. Journal of East China University of Science and Technology, 2004, (2): 179-182.
Citation:
WANG Hua-zhong, ZHANG Xie-shen, YU Jin-shou~*. Fault Diagnosis Based on Support Vector Machine[J]. Journal of East China University of Science and Technology, 2004, (2): 179-182.
WANG Hua-zhong, ZHANG Xie-shen, YU Jin-shou~*. Fault Diagnosis Based on Support Vector Machine[J]. Journal of East China University of Science and Technology, 2004, (2): 179-182.
Citation:
WANG Hua-zhong, ZHANG Xie-shen, YU Jin-shou~*. Fault Diagnosis Based on Support Vector Machine[J]. Journal of East China University of Science and Technology, 2004, (2): 179-182.
Fault diagnosis method based on SVM is proposed in this paper. The research shows that the method suggested features higher performance on classification and generalization ability and shorter training time over the methods based on artificial neural networks, especially for small samples.
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