摘要
在测试性虚拟验证中,合理正确的故障传播模型对确保验证结果的正确性起着重要作用.本文针对故障传播的复杂性和不确定性,将模糊和概率理论引入多信号流图模型,提出模糊概率多信号流图,对故障传播过程进行描述并进行相关推理,得出故障传播的后继故障模式集和等效故障模式,经案例应用验证表明,该模型与方法能较好地对故障传播过程进行准确的描述,较好地解决测试性虚拟验证中故障模拟及等效故障注入的问题.
The accurate model of fault propagation is important to insure the correctness of the demonstration conclusion in the testability virtual demonstration test. In order to solve the problem of complexity and uncertainty of propagation, fuzzy probability multi-signal flow graph was constructed by combining fuzzy theory, probability theory with multi-signal flow graph. The paper depicts the process of fault propagation, and elicits the subsequence set of fault propagation and the equivalent fault mode. According to the validation of case application, the model depicts the process of fault propagation exactly, and it can be used to simulate the fault propagation and the equivalent fault injection in the testability virtual demonstration test.
出处
《测试技术学报》
2009年第4期354-357,共4页
Journal of Test and Measurement Technology
基金
国家部委基金资助项目
关键词
故障传播
模糊概率多信号流图
故障注入
fault propagation
fuzzy probability multi-signal flow graph
fault injection
