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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
【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。
【Abstract】 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;
最小割集;
规则;
人工神经网络;
事故预测;
【Key words】 Accidental tree; Smallest sets; Rules; Artificial neural networks; Faultprediction;
【Key words】 Accidental tree; Smallest sets; Rules; Artificial neural networks; Faultprediction;
- 【文献出处】 矿山机械 ,MINING & PROCESSING EQUIPMENT , 编辑部邮箱 ,1999年11期
- 【分类号】TD534
- 【被引频次】4
- 【下载频次】176