文献类型：期刊文献

中文题名：动态系统故障诊断技术的研究与发展

英文题名：Research and Development of Fault Diagnosis Methods for Dynamic System

作者：郑小霞[1];钱锋[1]

机构：[1]华东理工大学自动化研究所,上海200237

年份：2005

卷号：32

期号：4

起止页码：1

中文期刊名：化工自动化及仪表

外文期刊名：Control and Instruments in Chemical Industry

收录：EI(收录号：2005369347557);Scopus

语种：中文

中文关键词：动态系统;故障诊断;解析模型;信号处理;神经网络;专家系统

外文关键词：dynamic system ; fault diagnosis; analytical model ; signal processing; neural network ; expert system

摘要：故障诊断技术经过几十年的迅速发展,已经出现了基于不同原理的众多方法,如基于解析模型的方法、基于信号处理的方法以及基于知识的方法。近年来,故障诊断技术又应用了多种新的理论和方法,如小波变换、主元分析法、支持向量机、分形等。在综合大量文献的基础上,系统地总结了国内外动态系统故障诊断技术的研究现状,介绍了近几年出现的一些新的故障诊断方法的特点和局限性,给出了一些典型的应用实例。最后对这一领域的发展趋势进行了探讨。
Through the rapid development of decades, the current fault diagnosis methods are divided into three kinds ： analytical model-based method, signal processing method and knowledge-based method. In recently years, many new theories and methods are applied to fault diagnosis technology：wavelet transformation, principal components analysis, support vector machine, fractal, etc. Based on a lot of documents and references, the current state of fault diagnosis technology for dynamic systems is systematically reviewed at home and abroad. The advantages and limitations of all sorts of new fault diagnosis methods are introduced. Several typical example applications are given out. The trends of development in this field are discussed.