摘要
基于GIS故障的随机性、多样性和故障征兆的模糊性,本文提出模糊Petri网(FPN)的GIS故障建模及推理方法,其将Petri网理论与模糊推理规则有机结合在一起,具有快速准确的并行推理能力。结合大量的统计故障案例,建立较为全面的基于FPN的GIS系统故障诊断模型。当系统未发生故障时,利用历史故障数据和FPN的正向矩阵推理对GIS进行可靠性分析,并将FPN的分析结果与传统的故障树法进行对比分析,验证FPN可以快速、准确地计算出中间和目标库所的概率重要度,并对初始库所重要度进行分析;在已知故障现象的情况下,通过反向的模糊推理规则,找出故障原因。以GIS绝缘缺陷和机械故障为例,验证了GIS故障模型和FPN方法的正确性和快速性。
The paper proposed a model and an inferring method based on fuzzy Petri net（ FPN） for the randomness,diversity,complexity and ambiguity of GIS faults. The theory of Petri net and rule of fuzzy inference are combined well to infer the GIS faults with high rapidity and accuracy. The GIS fault diagnose model is established through huge fault cases. Forward matrix inference is applied to reliability analysis of using historical fault data when the fault symptom is unknown. Comparing analysis results of FPN with traditional fault tree analysis validates that FPN can calculate the probability of each library＇s importance quickly and accurately. The importance of initial library is also analyzed. Reverse fuzzy inference rule is used to find out the fault reasons when the failure phenomenon is known. GIS insulation defects and mechanical faults are taken as the example to verify the correctness and rapidity of GIS fault models and methods.
出处
《电工电能新技术》
CSCD
北大核心
2016年第5期67-73,共7页
Advanced Technology of Electrical Engineering and Energy
基金
江苏省电力公司重点科技项目(J2015054)
