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贝叶斯网络能够用图形化的方式表示对象间的依赖关系,并支持不确定推理。研究基于贝叶斯网络的计算机网络设备级故障诊断方法,描述故障诊断模型的构造方法,设计故障诊断算法,并通过仿真验证该方法的有效性。
Bayesian networks can graphically represent the dependencies between objects and support indefinite reasoning. The method of equipment level fault diagnosis based on Bayesian network is described. The construction method of fault diagnosis model is described. The fault diagnosis algorithm is designed. The effectiveness of the method is verified by simulation.