摘要
基于分布式人工智能的知识共享和重用原理、方法 ,提出了依层次化对象分解构建化工过程的面向对象的集成故障检测与诊断系统的方法 ,并据此构建了一个通用的化工过程故障诊断系统 ( GCFDS)。通过对一具体生产过程的实例化仿真结果来看 ,应用实例的建立和运行结果都令人满意。
This paper presents a method of decomposing object into levels and building object facing integrated system for fault detection and diagnosis, based on knowledge sharing and reusing which have been one of the key issues of distributed artificial intelligence. A general fault detection and diagnosis system for chemical process (GFDSC) has been established by means of this method. Simulation research on a particular chemical process has demonstrated its satisfactory performance.
出处
《华东理工大学学报(社会科学版)》
2002年第S1期34-37,共4页
Journal of East China University of Science and Technology:Social Science Edition
基金
上海市自然科学基金 (0 1ZD14 0 14 )
关键词
知识
共享
重用
化工过程
故障诊断
knowledge
sharing
reusing
chemical process
fault diagnosis