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《Journal of Shaanxi University of Science & Technology(Natural Science Edition)》 2017-02
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Application of neural network with improved particle swarm optimization algorithm in the transmitter controller fault diagnosis

DANG Hong-she;LIU Fang-fang;ZHANG Chao;College of Electrical and Information Engineering,Shaanxi University of Science & Technology;  
To solve the problems of low efficiency and inaccurate positioning for transmitter controller fault diagnosis,an improved particle swarm optimization neural network and expert system fault diagnosis method are used in the fault diagnosis of transmitter controller.Collected three panel circuit of the normal and fault data structure network training respectively,in order to improve the neural network training speed and precision,using improved particle swarm optimization to it.The simulation results show that the fault diagnosis method can diagnose the transmitter controller fault well,provide convenience for the transmitter controller fault diagnosis.
【Fund】: 陕西省科技厅科技攻关计划项目(2015SF275)
【CateGory Index】: TN934.81;TP18
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