事故树与人工神经网络在提升机故障预测中的应用  

The application of accidental tree and artificial neural networks in hoist fault prediction

作　　者：肖兴明[1] 黄小军[1] 贾皓丽[1] 

机构地区：[1]中国矿业大学机电学院,江苏徐州22100

出　　处：《矿山机械》1999年第11期14-15,共2页Mining & Processing Equipment

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.

关 键 词：事故树 人工神经网络 提升机 故障预测 

分 类 号：TD534.6[矿业工程—矿山机电]