现代大型设备故障智能诊断技术的现状与展望  

Progress and Prospects of Intelligence Fault Diagnosis Technology Based on Modern Large Equipments

作　　者：吴翠娟[1] 陈莹[1] 王致杰[1] 李冬[1] 

机构地区：[1]中国矿业大学信息电气工程学院

出　　处：《电子工程师》2003年第12期41-43,共3页Electronic Engineer

摘　　要：智能故障诊断技术为保障现代复杂工程技术系统的可靠性和安全性提供了新途径。非线性系统的故障诊断是该技术领域的热点和难点问题,其中,基于知识的故障诊断技术具有良好的发展前景。由基于规则的系统到基于混合模型的系统,由领域专家提供知识到机器学习,由非实时诊断到实时诊断,由单一推理控制策略到混合推理控制策略,是基于知识的故障诊断发展方向。The technology of intelligence fault diagnosis develops a new way for the reliability and safety of complicated industrial systems. The diagnosis in the nonlinear systems is the hot and difficult subject in this field. The knowledge-based diagnosis may include: from the rule-based system to the hybrid-model-based one, obtaining knowledge from domain expert' s offering to the self-learning of the machine itself, from the nonreal-time diagnosis to the real-time one,from the single inference control strategy to the hybrid inference control one.

关 键 词：智能故障诊断 专家系统 人工神经网络 模糊理论 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]