| A Novel Parsimonious Neurofuzzy Model Applied to Railway Carriage System Identification and Fault Diagnosis |
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| 引用本文： | S. C. Zhou *,O. L. Shuai ,T. T. Wong *,T. P. Leung * ** This Project is Supported Partly by National Natural Science Foundation of China(69572014) * Dept.ME,Hong Kong Polytechnic University,Hong Kong Dept.EE,South China University of T. A Novel Parsimonious Neurofuzzy Model Applied to Railway Carriage System Identification and Fault Diagnosis[J]. 国际设备工程与管理, 1997, 0(4) |
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| 作者姓名： | S. C. Zhou * O. L. Shuai T. T. Wong * T. P. Leung * ** This Project is Supported Partly by National Natural Science Foundation of China(69572014) * Dept.ME Hong Kong Polytechnic University Hong Kong Dept.EE South China University of T |
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| 摘 要： | ＡＮｏｖｅｌＰａｒｓｉｍｏｎｉｏｕｓＮｅｕｒｏｆｕｚｚｙＭｏｄｅｌＡｐｐｌｉｅｄｔｏＲａｉｌｗａｙＣａｒｉａｇｅＳｙｓｔｅｍＩｄｅｎｔｉｆｉｃａｔｉｏｎａｎｄＦａｕｌｔＤｉａｇｎｏｓｉｓＳ．Ｃ．Ｚｈｏｕ，Ｏ．Ｌ．Ｓｈｕａｉ＋，Ｔ．Ｔ．Ｗｏｎｇ?..
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A Novel Parsimonious Neurofuzzy Model Applied to Railway Carriage System Identification and Fault Diagnosis |
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| S. C. Zhou ,O. L. Shuai ,T. T. Wong ,T. P. Leung This Project is Supported Partly by National Natural Science Foundation of China. A Novel Parsimonious Neurofuzzy Model Applied to Railway Carriage System Identification and Fault Diagnosis[J]. International Journal of Plant Engineering and Management, 1997, 0(4) |
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| Authors: | S. C. Zhou O. L. Shuai T. T. Wong T. P. Leung This Project is Supported Partly by National Natural Science Foundation of China |
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| Abstract: | In this paper, we suggest a novel parsimonious neurofuzzy model realized by RBFNs for railway carriage system identification and fault diagnosis. To overcome the curse of dimensionality resulting from high dimensional input variables, in our developed model the features extracted from the available observations are regarded as the input variables by adopting the higher-order statistics(HOS) technique. Such a constructed model is also applied to a practical railway carriage system, simulation results indicate that the developed neurofuzzy model possesses strong identification and fault diagnosis ability. |
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| Keywords: | parsimonious neurofuzzy model feature extraction by Higher-Order Statistics (HOS) railway carriage system identification and fault diagnosis |
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