基于Vague故障树的发动机系统可靠性分析

摘要

针对基于概率论的故障树分析(FTA)模型不适用于结构复杂、且失效行为具有不确定性汽车发动机系统的可靠性分析,将Vague集引入其故障树分析中,用Vague集描述底事件的失效行为,构造了基于三角形Vague集算术运算的最大和最小与门模糊算子,并确定了Vague故障树分析的步骤、原则与方法.通过建立某典型发动机系统的Vague故障树分析(VFTA)模型.解决了故障树分析中部分事件故障判据及数据的模糊性问题.仿真结果表明VFTA模型比其它模糊FTA模型更灵活、有效.%In view of that the fault tree analysis (FTA) model is unsuitable for the reliability analysis of automotive engine characterized by complexity in structure and uncertainty in failure behaviors, Vague set is introduced into fault tree analysis to describe the failure behaviors of bottom event. The maximum and minimum ANDgate fuzzy operators of arithmetic operation are constructed based on triangular Vague set, and the procedure, principle and method of Vague fault tree analysis are determined. By setting up Vague fault tree analysis (VFTA) model for a typical engine system, the fuzziness problem of failure criteria and data in some events in fault tree analysis is resolved. The results of simulation indicate that VFTA model is more flexible and effective than other fuzzy FTA models.