计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 564-567.doi: 10.11896/j.issn.1002-137X.2016.11A.127

• 智能系统及应用 • 上一篇    下一篇

基于规则库的变压器故障监测专家系统

李锋,夏立   

  1. 东华大学计算机科学与技术学院 上海201620,东华大学计算机科学与技术学院 上海201620
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受上海市自然基金项目(16ZR1401100)资助

Transformer Fault Monitoring Expert System Based on Rule Base

LI Feng and XIA Li   

  • Online:2018-12-01 Published:2018-12-01

摘要: 针对变压器在线监测中缺乏状态方程的问题,设计了一种基于规则库的变压器故障实时监测的专家系统。首先以规则形式对专家知识进行编码。其次为了提高系统运行速度,方便规则的存储和管理,采用转化方案对规则进行了规范化处理,将规则以统一的形式存储在知识库中。最后提出了一种自动消除冗余规则的算法,得到所需的最小规则库。实验表明,该设计很好地模拟了人类专家对变压器故障的推理过程。

关键词: 变压器故障监测,专家系统,知识库,模糊规则,冗余规则

Abstract: To deal with the lack of state equation on transformer on-line monitoring,we designed a kind of rule-based expert system for transformer fault real-time monitoring.First of all,the expert knowledge is coded in the form of rules.Secondly,in order to accelerate the system running speed and make storage and management of the rules conve-nient,we used normalized processing scheme of the rules to make the rules in the form of unified stored in knowledge base.In the end,this paper put forward a kind of algorithm,which can automaticly eliminate redundant rules and get minimum rule base.Experiments show that the design is good to simulate the human expert reasoning process of transformer faults.

Key words: Transformer fault monitoring,Expert system,Knowledge base,Fuzzy rule,Redundant rule

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