摘要
针对水电机组故障诊断知识较为复杂多样的特点 ,提出了将产生式模糊规则表示、神经网络表示和可视化故障知识表示等多种方法综合集成的知识表达方式和诊断推理策略。诊断实例表明 ,该集成知识表达和推理方式的引入有助于增强水电机组故障诊断专家系统的知识获取和表达能力 ,提高了系统的推理匹配能力。
In consideration of the diversity and the complication of fault diagnosis knowledge for hydroelectric set, a new metasynthesizing knowledge representation using neural network, fuzzy rules and visualized technique is proposed. And on the basis of the knowledge representation, an integrated reasoning method is completed. A Vibration Fault Diagnosing Example is given to demonstrate that the abilities of acquiring and representing knowledge and the inferring efficiency of hydroelectric set's fault diagnosis can be reasonably improved.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第4期68-71,86,共5页
Proceedings of the CSEE
基金
云南省科技攻关计划项目!( 95B12 3 )
