变电站智能告警专家系统的不确定性知识表示

在变电站智能告警专家系统中,针对业务知识的不确定性和复杂性,文中设计了一种不确定性知识的表示方法,可以使采用该方法构建的知识库更有利于推理机的推理和知识库的自学习。该方法根据领域知识将变电站信号进行分层分类,以子知识库的形式进行知识的组织,克服了知识的复杂性。而且它采用一种模糊产生式表示业务知识,将模糊推理规则映射为模糊产生式,解决了知识的不确定性问题。实验分析表明,该方法适合进行变电站关联信号的告警推理,结合系统对知识的自学习机制,可以有效降低告警的差错率和虚警率。

Representation of Uncertain Knowledge in Intelligent Alarm Expert System for Substation

In intelligent alarm expert system for substation,the business knowledge is uncertain and complex.Focusing on these characteristics,this paper designs a method of representation for uncertain knowledge.The knowledge library built using this method is more conductive to carry on fuzzy reasonging and self-learning.Based on the domain knowledge,this method classifies signals of the substation,and organizes the knowledge in the form of sub-knowledge library,to overcome the complexity of knowledge.In order to solve the problem of knowledge’s uncertainty,it represents business knowledge by a kind of fuzzy production,and maps the fuzzy reasoning rule to fuzzy production.Experiment results show that this method is suitable for alarm reasoning on related signals of the substation.Combined with the self-learning mechanism for knowledge of the system,the method can reduce the rate of missing alarm and false alarm effectively.