摘要
介绍一种基于ＡＮＮ的设备故障智能诊断专家系统模型，探讨了该模型的基本结构和相应的推理机制及故障诊断策略，提出将设备故障分为低层故障和高层故障的思想以及相应的分层诊断、分块进行的诊断策略，并以ＭＫ９５卷接机组为诊断对象，研究了该模型及诊断方法在设备故障智能诊断中的具体应用．
Fault diagnosis of complex devices has become an issue of very importance in modern industrial process automation. Many methods about fault diagnosis were presented in last 30 years, and intelligent diagnostic methods have been rapidly developed in recent years. Their applications, however, are limited due to their inherent defects in some fields. In this paper, a new intelligent diagnostic model which combines Artificial Neural Networks (ANN) with Expert System (ES) is developed. The architecture of its hardware and software are discussed. Its knowledge base, and knowledge acquisition are studied. The hybrid reasoning mechanism and layered diagnosing strategy are proposed. The diagnostic expert system based on the new model has been built for MK9 5 machines fault diagnosis. It has been shown that the new intelligent diagnostic expert system based on ANN has higher effect and liability than the common diagnostic expert system does. It is expected to be further developed and improved in order to apply it in practice.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
1998年第5期611-614,共4页
Journal of Beijing University of Aeronautics and Astronautics
关键词
故障诊断
专家系统
人工神经网络
智能诊断
equipments
fault diagnosis
expert system
artificial neural networks (ANN)
intelligent diagnostic(ID)
