摘要
提出一种适用于船用柴油机涡轮增压系统故障诊断的方法 ,即基于径向基函数 ( RBF)神经网络模型诊断方法 ;并对该系统的征兆 /故障样本集进行设计 ;采用 MATLAB语言编制仿真程序 ,实现增压子系统故障诊断的算法和程序设计 .仿真实验结果表明本文所提出的诊断方法是可行的 .
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.
出处
《大连海事大学学报》
CAS
CSCD
2000年第1期9-13,共5页
Journal of Dalian Maritime University
基金
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)
关键词
船用低迷柴油机
故障诊断
涡轮增压系统
marine diesel engine
fault diagnosis
RBF neural network
turbo charging system
