故障诊断专家系统的知识网络设计  

The Design of the Knowledge Network for Fault Diagnosis Expert System

作　　者：黄波[1] 倪重匡[1] 高丽萍[1] 

机构地区：[1]复旦大学计算机系

出　　处：《软件学报》1998年第7期554-560,共7页Journal of Software

摘　　要：该文针对识别与分类两种故障诊断模型，提出了一种知识网络的结构设计方法，并给出了详细的推理算法与故障判决算法．此种知识网络通过消息传递来实现不精确推理，具有分布式特性．该文还提出了网络结点判决函数的机器学习算法，采用卷包裹算法来实现判决函数边界点集的选取，减少了曲线拟合的计算量．In this paper, a structural design of the knowledge network for the identification and classification fault diagnosis model is introduced together with the detailed reasoning algorithm and fault diagnosis algorithm. Reasoning with uncertainty is realized through the message propagation among the nodes, which makes it have the characteristic of a distributed system. In addition, the machine learning algorithm for the judgement function is also presented. This algorithm adopts the package wrapping algorithm to select the border points sets, which makes the speed of curve approach more quickly.

关 键 词：故障诊断 专家系统 知识网络 判决函数 机器学习 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]