循环流化床锅炉状态监测与故障诊断专家系统(CFBBEXPTS)的故障对象——异常参数因果依赖网络

Causal Dependency Network of Abnormal Parameters of Monitoring and Diagnostic Expert System for Circulating Fluidized Bed Combustion Boiler

讨论了ＣＦＢＢＥＸＰＴＳ的故障机理和故障对象——异常参数因果依赖网络。因果依赖网络描述了故障对象（故障源）与异常状态参数（故障征兆）的对应关系。以等级网络下的热力对象的定性功能模型和模糊故障模型为基础，因果依赖网络的建立是一种新的知识重构。它是更高级和更深层次上的知识形式与表示。同时，它也是实现候选故障快速生成及诊断的基础。

Abstract This paper discussed the mechanism of the faults and the causal dependency network between the fault objects and the abnormal parameters.Through the object oriented hierachical network and descriptive sets about the objects,the establishment of causal dependency network is a new knowledge reconstruction,which is the more advanced knowledge representation in higher hierachy.At the same time,it serves as the base of the realization of rapid fault candidate generation and diagnostics as well.