摘要
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。在系统实现中，用隶属函数反应故障现象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，用模糊性更新传播算法实现基于规则的模糊推理，以人工神经网络实现基于示例的学习，统一以专家系统进行诊断过程管理。并以实例证明了系统的正确性与实用性。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power sta-tion electric apparatus is proposed. Managed by an expert system, the system is hased on membersbip functionto mirror faults'fuzzy and fuzzy concern, relational database to describe knowledge. and rules. fuzzy renew algo-rithm to perform rule-based inference, and artificial neural networks to learn rules' from samples. Then itspracticability is verified
出处
《计算机工程与应用》
CSCD
北大核心
1999年第2期105-109,共5页
Computer Engineering and Applications
关键词
电气设备
故障诊断
智能系统
数据库
Fault Diagnosis, .Fuzzy. Database, Intelligence, Expert System . Neural Networks
