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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 failure mechanism of the braking system is studied, and the fault tree and corresponding artificial neural network structure of the braking system are established. The Fussell-Vesely algorithm is used to find the minimum cut set of the accident tree and extract the corresponding rules. Using the rules of least cut set extraction and the associative memory function of artificial neural network respectively, the fault prediction and forecasting is carried out.