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《Advanced Technology of Electrical Engineering and Energy》 2006-04
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Application of particle-group and neural network hybrid algorithm in fault diagnosis of three-phase rectification circuit

CAI Jin-ding,FU Zhong-yun(Electrical Engineering and Automation College of Fuzhou University,Fuzhou 350002,China)  
The application is based on particle-group optimal algorithm and neural network in fault diagnosis of power electronic rectification circuit.First the article discusses the particle-group optimal algorithm and operational procedure to the hybrid algorithm of particle-group and neural network,then the diagnosis method is applied to fault diagnosis of power electronic rectification circuit.According to the simulation result,the hybrid algorithm can be used to the fault diagnosis of three-phase rectification circuit.It has the faster rate of convergence and greater diagnosis accuracy,and it is suitable for practical applications.
【Fund】: 福建省教育厅基金资助项目(JB03060)
【CateGory Index】: TM773
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