基于动态模糊Petri的电力通信现场故障诊断方法研究

电力通信的故障特征呈现出多层次、非线性、多变量及多关联等特点,给现场故障的精确诊断带来困难。论文以模糊Petri网理论为核心,引入Place、Token及转移的着色规则,提出了一种动态模糊Petri网的建模与推理方法,并应用到电力通信现场故障诊断中,从而能够更加直观、准确地描述现场故障的运行状况。通过实验仿真,对动态模糊Petri网的推理结果和历史故障统计的归一化数据进行了线性相关性分析,验证了该方法的正确性、有效性,具有较好的可行性和实用性,可为电力通信现场的故障诊断提供辅助分析支持。

Research on Fault Diagnosis Method of Power Communication Field Based on Dynamic Fuzzy Petri

The characteristics of electric power communication field faults show many characteristics such as multi-level,multi association and uncertainty,w hich bring difficulties to the accurate diagnosis of field faults.This paper,taking the fuzzy Petri net theory as the core,introduces the coloring rules of place,T oken and change,p uts forward a modeling and reasoning method to improve the fuzzy Petri net,a nd applies it to the fault diagnosis in the field of electric power communication,so as to describe the running condition of the fault more intuitively and accurately.Through the experiment simulation,the linear correlation analysis is carried out to improve the reasoning result of fuzzy Petri net and the normalized data of historical fault statistics,a nd the correct ness,validity and feasibility of the algorithm are verified.It has good feasibility and practicability,and can provide auxiliary analy sis support for the fault diagnosis of the electric power communication field.