微型电脑应用

针对变电站断路器故障诊断准确性的低问题，提出基于Petri网推理的变电站断路器故障诊断方法。所提方法设计以高级Petri网为基础，建立反向时序推理和正向时序推理方法，以向量变迁置信度反向推理故障置信度阈值并确定正向标识向量的故障演绎推理阈值来采集故障信号，利用故障信号建立正向时序推理的雏形，结合支持向量机(SVM)算法，优化推理方法，构建变电站断路器故障诊断方法，实现变电站断路器故障诊断。实验结果表明，所提方法获取的闸间电流和闸间电压与实际值吻合，并且所提方法在不同工况下获取的故障信号与实际信号在各时间点重合度较高，因此，所提方法有效提高了故障信号获取的准确性，诊断性能强。

Aiming at the low accuracy of substation circuit breaker fault diagnosis, a fault diagnosis method of substation circuit breaker based on Petri net reasoning is proposed. Based on the advanced Petri net, the proposed method is designed to establish reverse temporal reasoning and forward temporal reasoning methods, reverse infer the fault confidence threshold by the vector transition confidence, the fault deductive reasoning threshold of forward identification vector is determined to collect fault signals, use fault signals to establish the prototype of forward temporal reasoning, combine support vector machine(SVM) algorithm to optimize the reasoning method. The fault diagnosis method of substation circuit breaker is constructed to realize the fault diagnosis of substation circuit breaker. The experimental results show that the gate-to-gate current and gate-to-gate voltage obtained by the proposed method are consistent with the actual values, and the fault signals obtained by the proposed method under different working conditions have a high coincidence degree with the actual signals at each time point, so the proposed method effectively improves the accuracy of fault signal acquisition and has strong diagnostic performance.