摘要
研究了制动系统失效的故障机理,并建立了制动系统失效的事故树及相应的人工神经网络结构。用Fussell-Vesely算法求出了事故树的最小割集并抽取出相应的规则。分别利用最小割集抽取的规则和人工神经网络的联想记忆功能,进行故障的预测预报。
The paper studies the fault mechanism of braking system fail and buildsthe accidental tree and artificial neural network(ANN) model. Based onFussed-Vesely algebre, the smallest-sets and the rules are obtained.Moreover according to the rules and remembering functions of ANN, therunning state of braking systems can be predicted.
出处
《矿山机械》
北大核心
1999年第11期14-15,共2页
Mining & Processing Equipment
关键词
事故树
人工神经网络
提升机
故障预测
Accidental tree, Smallest sets, Rules ,Artificial neural networks, Faultprediction