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《JOURNAL OF DALIAN MARITIME UNIVERSITY》 2000-01
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The study of fault diagnosis for turbo-charging system in low-speed marine diesel engine using RBF neural network

HUANG Jia liang 1, WENG Ze min 1, ZHANG Jun dong 2,SUN Pei ting 2(1.Navigation Institute, Ji Mei, Univ.,Xiamen 361021, China; 2. Maritime Engineering College, Dalian Maritime Univ., Dalian 116026,China)  
The method of fault diagnosis for the turbo charging subsystem in marine diesel engine, an artificial neural network model based on radial basis function (RBF), is presented. And its sample sets of the symptoms and troubles are designed. Simultaneously, by using a practical neural network toolbox in MATLAB environment, the simulating calculation for fault diagnosis of marine low speed heavy duty diesel engine is worked out. The simulating experimental results demonstrate that this diagnosis method for turbo charging system is feasible and effective.
【Fund】: 交通部科技进步“通达计划”资助项目!( 95-0 5-0 4 -0 2 );; 辽宁省科学技术基金资助项目! ( 981 0 4 0 0 5)
【CateGory Index】: U664.12
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