Bayesian Network based Software Diagnosis Expert System
Through the demonstrated external phenomenon or some input data, most software failures can be analyzed to help the in-depth understanding and backtracking the root source of the fault. Base on bayesian network, we designed a fault analysis expert system, which can realize the collection of fault case, strcture learning and parameter learning of the diagnosis network. This diagnosis expert system can analysis the possible fault cause and fault module, and output the dynamic diagnosis strategy given the inputs of fault phenomenon. And finally it can be achieved the multiperspective shallow reasoning,deep-level reasoning and dynamic fault reasoning.
Bayesian network fault diagnosis expert system
Yang Shunkun
School of reliability and system engineering Beihang University, Beijing, 100191, China
国际会议
三亚
英文
189-192
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）