本文已被:浏览 1431次 下载 6476次
Received:May 04, 2015 Revised:July 06, 2015
Received:May 04, 2015 Revised:July 06, 2015
中文摘要: 电力系统智能告警研究目前主要集中于规则推理领域,未能充分利用系统内历史故障的案例进行有效的分析与故障处理.本文初步研究了基于案例推理的故障诊断算法,在此基础上提出了一种基于向量计算的案例匹配算法.该算法通过对故障信息进行抽象,并与系统案例库中的案例进行相似度计算的方式,对故障信息与案例信息进行一一匹配.案例库的建立基于经过人工分析的各类历史故障信息.相似案例的故障性质、故障原因分析可对本次故障的分析、诊断和后续处理起到指导作用.
Abstract:Power system intelligent alarm is mainly concentrated on the rule reasoning domain. This method does not effectively use the analysis of historical failure to analyze and handle the accident which is currently happening in the system. In this paper, after a preliminary study on fault diagnosis algorithm with case-based reasoning, a matching algorithm is proposed based on vector calculation. In this algorithm, the fault information in the system is abstracted and the similarity to the cases within system case library is then calculated to try to match the fault information to the case information one by one. All the history cases are obtained by manual analysis of historical failure information in the system case library. The fault properties and the cause of similar cases are helpful for current failure analysis, diagnosis and exception handling.
文章编号: 中图分类号: 文献标志码:
基金项目:
引用文本:
孔钦,叶长青.基于案例推理的故障诊断算法.计算机系统应用,2016,25(1):181-186
KONG Qin,YE Chang-Qing.Fault Diagnosis Algorithm with Case-Based Reasoning.COMPUTER SYSTEMS APPLICATIONS,2016,25(1):181-186
孔钦,叶长青.基于案例推理的故障诊断算法.计算机系统应用,2016,25(1):181-186
KONG Qin,YE Chang-Qing.Fault Diagnosis Algorithm with Case-Based Reasoning.COMPUTER SYSTEMS APPLICATIONS,2016,25(1):181-186