摘要
介绍了故障诊断技术及粗糙集理论的发展状况,重点总结了目前粗糙集理论在故障诊断领域中的几种应用形式,即粗糙集理论与知识发现相结合用于故障诊断、粗糙集理论与专家系统相结合用于故障诊断、粗糙集理论与神经网络相结合用于故障诊断以及粗糙集理论与其他智能技术相结合用于故障诊断;同时,指出了粗糙集理论研究中存在的问题,并对今后的研究方向提出了具体的思路.
This paper introduced the present situation of the fault diagnosis technology and the rough set theory, summarized the application forms of the fault diagnosis based on rough set. Those were the application of fault diagnosis based on rough set combined with Knowledge Discovery in Database（KDD）, the application of fault diagnosis based on rough set combined with expert system, the application of fault diagnosis based on rough set combined with artificial neural network and the application of fault diagnosis based on rough set combined with other intelligent technology. It also pointed out the problems of the rough set study. The expected trend of the study was discussed.
出处
《宁夏工程技术》
CAS
2006年第1期65-68,72,共5页
Ningxia Engineering Technology
关键词
粗糙集
故障诊断
知识发现
专家系统
神经网络
rough set
fault diagnosis
Knowledge Discovery in Database（KDD）
expert system
neural network
