基于Petri网络计及警报信息时间特性故障诊断模型

电力系统发生故障时，警报信息具有时间特性，这一特性直接影响故障诊断结果的准确性和诊断速度，提出了一种计及报警信息时间特性故障树Petri网故障诊断模型和故障树表示方法，利用Petri网络描述了故障征兆与故障的关系，用故障树矩阵运算进行推理，比传统专家系统大大减少了诊断时间，提高了准确度，最后通过测试实例验证此故障诊断模型方法的快速，准确性。

Fault Diagnosis Model Based on Petri with Timeliness of Warning Information Taken into Consideration

The timeliness of warning information has its direct effect on the accuracy of fault diagnosis and the rate of fault diagnosis as well. A fault diagnosis model based on a fault tree Petri with the timeliness of warning information taken into account and a way of fault tree representation are proposed so that the Petri network is used to describe the relationship between symptom and fault and the fault tree mattrix operation is used for reasoning. In comparison with the traditional expert system, this fault diagnosis model significantly reduces the diagnosis time required and improves the accuracy of fault diagnosis, and this was finally proved by a typical example.