Nonlinear fault diagnosis method based on kernel principal component analysisOA
Nonlinear fault diagnosis method based on kernel principal component analysis
To ensure the system run under working order, detection and diagnosis of faults play an important role in industrial process. This paper proposed a nonlinear fault diagnosis method based on kernel principal component analysis…查看全部>>
To ensure the system run under working order, detection and diagnosis of faults play an important role in industrial process. This paper proposed a nonlinear fault diagnosis method based on kernel principal component analysis (KPCA). In proposed method, using essential information of nonlinear system extracted by KPCA, we constructed KPCA model of nonlinear system under normal working condition. Then new data were projected onto the KPCA model. When new data…查看全部>>
Yan Weiwu;Zhang Chunkai;Shao Huihe
Department of Automation,Shanghai Jiaotong University,Shanghai 200030, P.R.ChinaDepartment of Automation,Shanghai Jiaotong University,Shanghai 200030, P.R.ChinaDepartment of Automation,Shanghai Jiaotong University,Shanghai 200030, P.R.China
kernel principal component analysisfault diagnosisnonlinear
kernel principal component analysisfault diagnosisnonlinear
《高技术通讯（英文版）》 2005 (2)
189-192,4
Supported by the High Technology Research and Development Programme of China (No. 2001AA413130).
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