启发性故障诊断知识自动获取机制

本文从机器学习的角度，提出了一种基于故障事例的启发性诊断知识自动获取、自学习机制，即故障概念的获取和启发性诊断推理规则的获取。文中对故障诊断知识获取问题进行了形式化表达，给出了建立各故障模式特征描述的概念覆盖算法和构造故障概念层次性分类描述的概念聚类算法，并以旋转机械故障诊断知识获取为例，阐述了这一故障概念与诊断规则自动获取机制。

An Example-Based Auto-Acquisition System for Eault Concepts and Diagnosis Rules

From the view of machine learning,an knowledge auto-acquisition system for diagnosis in-ference is proposed based on examples,The problem of fault diagncais knowledge acquisition is formal-ized,the specific concept covering algorithm for fault concept acquisition and the concept clustering al-gorithm for rule acquisition are presented,As a demonstration, the auto-acquisition processes of faultconcept and diagnosis rule for rotating machinery are also deccribed.