摘要
针对单独运用专家系统和优化算法在电力系统故障诊断中存在的一些缺陷,设计了将专家系统推理过程融合到基于进化算法的优化算法中,形成一种新的推理优化算法,该算法根据可能的故障假设,结合约束条件,通过专家系统判断信息的合理性,从而得到最合理的故障情况。在实际应用中,该算法诊断结果可靠,具有一定的工程应用价值。
According to the limitation of only using the expert system and optimization algorithms in the fault diagnose of power systems,the paper designs a new reasoning optimization algorthm which merges the reasoning process of expert systems into the evolutionary based optimization algorithm. The algorithm can get the most reasonable fault situation based on potential fault assumption, combined with constraint condition, and the rationality of the judgment of expert systems. The diagnosis result of the algorithm is credible in practical use, which shows its engineering application value.
出处
《江苏电机工程》
2007年第3期15-17,共3页
Jiangsu Electrical Engineering
关键词
故障诊断
进化算法
专家系统
fault diagnose
evolutionary algorithm
expert system
