工矿自动化2013，Vol.39Issue(9)：104-108,5.DOI:10.7526/j.issn.1671-251X.2013.09.027
基于概率神经网络的柴油机故障诊断与预测研究
Research of fault diagnosis and prediction for diesel engine based on probabilistic neural network
摘要
Abstract
In view of problem of difficult fault diagnosis and prediction for diesel engine,the paper analyzed common faults and influencing factors of diesel engine,introduced method of extraction,analysis and processing of the failure data,and built a model of fault diagnosis and prediction based on probabilistic neural network.The simulation results show that the model can diagnose and forecast fault of complex mechanical system such as diesel engine and give diagnosis results accurately,and its accuracy rate of fault diagnosis and prediction is up to 94.84 percent.关键词
柴油机/故障诊断/预测/概率神经网络/PNNKey words
diesel engine/ fault diagnosis / prediction/ probabilistic neural network / PNN分类
矿业与冶金引用本文复制引用
郑小倩,胡仕强,吴舰..基于概率神经网络的柴油机故障诊断与预测研究[J].工矿自动化,2013,39(9):104-108,5.基金项目
贵州省科技基金项目(黔科合J字LKS[2011]5号). （黔科合J字LKS[2011]5号）
