高铁进出站控制系统的Petri网故障诊断研究

Research on fault diagnosis of high-speed rail in and out of station control system with Petri nets

高铁进出站控制系统是保证高铁正常运行的关键枢纽。针对高铁进出站控制系统是否发生故障及故障发生的准确位置,基于部分可观Petri网的结构特点和整数线性规划问题,提出了一种在线故障诊断算法。算法获取被诊断系统的基本观测序列和基本点火序列,计算观测序列的最大长度,选取故障诊断参数K,应用提出的故障诊断算法对高铁进出站控制系统进行仿真实验并进行了故障诊断分析。实验结果指出高铁进出站控制系统在运行过程中出现的故障,与实验设定故障完全相符。而对于系统中不可观事件和不可观运行状态所发生的故障,该算法仍准确指出了故障发生位置,由此可证明该诊断方法能够满足高铁进出站控制系统对故障诊断算法实时、准确的要求。

High-speed rail in and out of station control system is the key hub to ensure normal operation of high-speed rail. To find out whether high-speed rail in and out of station control system has a fault or not and the location of fault,based on partially observed Petri nets and integer linear programming,an on-line fault diagnosis algorithm is proposed in this paper. The algorithm obtains the elementary observation sequence and elementary firing sequence of diagnosis system. Secondly,it calculates the maximum length of the observation sequence,and selects fault diagnosis parameter K.The proposed algorithm is applied in the simulation experiments for making fault diagnosis in high-speed rail in and out of station control system. The experimental results point out that the faults in operation process of the high-speed rail in and out of the station control system are consistent with the experimental results. For the faults in unobservable events and the unobservable running states of the system,the algorithm also can point out the accurate locations of the faults,which proves that the diagnosis method can satisfy the real-time and accuracy requested by the high speed rail in and out of station control system.