基于模糊概率Petri网的弹载二次电源故障诊断模型

Research on Fault Diagnosis of Missile Borne Secondary Power Source Based on Probability Fuzzy Petri Net

针对某型弹载二次电源的故障诊断问题,采用模糊Petri网进行建模验证。在传统模糊Petri网的基础上,通过引入变迁概率信息,阐述模糊产生式规则及基于矩阵的推理运算,并对其进行建模验证。结果表明:模糊概率Pteri网适用性强,基于矩阵的推理运算清晰、高效,易于诊断模型库的扩充、维护。

Aiming at the problem of certain type missile borne secondary power source fault diagnosis, use fuzzy Petri net to carry out modeling verification. Based on the traditional fuzzy Petri net, by introducing the transition probability information, the rules of fuzzy production and matrix-based inference calculation are expounded and the models are validated. The results show that the fuzzy probability Petri network has strong applicability and the matrix-based inference operation is clear and efficient, which makes it is easy to diagnose the expansion and maintenance of the model base.