基于扩展模糊时间Petri网的故障诊断

Fault Diagnosis Based on Extended Fuzzy Time Petri Net

针对故障诊断中可能出现的故障原因漏判问题,提出一种基于扩展模糊时间Petri网的故障诊断算法。该算法通过检查模糊时间戳确定故障时刻所有故障原因的状态,结合正向和逆向推理最大程度地解决故障原因漏判问题,从而确定主要、次要和其他故障原因。燃气轮机的故障诊断实例验证了该算法的有效性。

Aiming at the fault cause missing judgment problem in fault diagnosis, this paper presents a fault diagnosis algorithm based on Extended Fuzzy Time Petri Net（EFFPN）. The algorithm confirms the states of all fault cause at the time when a fault occurs, uses bidirectional reasoning to resolve the fault cause missing judgment problem, and finds the primary, secondary and other causes. The gas turbine fault diagnosis example verifies the validity of the algorithm.