一种基于模糊概率推理和遗传算法相结合的变压器故障诊断研究

The Study on Transformer Faults Diagnosis Based on Genetic Algorihm and Fuzzy Probability Reasoning

在概率因果推理模型的基础上,引入模糊理论,重新建立了模糊概率因果变压器故障诊断模型,并从非线性组合优化的角度提出了该模型的GA求解策略。这对较快、较准确地搜索变压器故障提供了一种新的思路。实验数据表明:该文提出的新方法同时提高了并发性故障和单故障的识别率。

A fuzzy p robability reasoning model for transformer faults diagnosis is rebuilded based o n probability reasoning and fuzzy theory.A resolvent for the model is put for ward from the point of nonlinear combinatorial optimization view.The method pr esents a new idea of finding out transformer faults speedily and accurately.Th e result of experience shows that the new method has improved the indentifying rate of single and multi faults.