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数据驱动的故障诊断与容错控制:进展与可能的新方向
引用本文:王宏,柴天佑,丁进良,布朗·马丁.数据驱动的故障诊断与容错控制:进展与可能的新方向[J].自动化学报,2009,35(6):739-747.
作者姓名:王宏  柴天佑  丁进良  布朗·马丁
作者单位:1.英国曼彻斯特大学控制系统中心 曼彻斯特 M60 1QD
基金项目:国家重点基础研究发展规划(973计划),国家自然科学基金,the Leverhulme Trust,the United Kingdom
摘    要:综述数据驱动的故障诊断与容错控制方法的主要进展. 首先对工业过程故障检测与诊断简短的进行了简短的总结, 然后讨论了广泛应用的数据驱动或基于知识的方法. 本文还给出了一个由控制系统设定值设定不合适而引起的异常工况的诊断与容错控制的工业应用案例. 最好指出了可能的研究新方向.

关 键 词:故障检测    故障诊断    容错控制    数据驱动
收稿时间:2009-1-8
修稿时间:2009-3-12

Data Driven Fault Diagnosis and Fault Tolerant Control:Some Advances and Possible New Directions
WANG Hong, CHAI Tian-You DING Jin-Liang BROWN Martin. Control Systems Centre,University of Manchester,Manchester M QD,UK . Key Laboratory of Integrated Automation for Process Industry,Ministry of Education,Northeastern University Shenyang ,P.R.China.Data Driven Fault Diagnosis and Fault Tolerant Control:Some Advances and Possible New Directions[J].Acta Automatica Sinica,2009,35(6):739-747.
Authors:WANG Hong  CHAI Tian-You DING Jin-Liang BROWN Martin Control Systems Centre  University of Manchester  Manchester M QD  UK Key Laboratory of Integrated Automation for Process Industry  Ministry of Education  Northeastern University Shenyang  PRChina
Affiliation:1.Control Systems Centre, University of Manchester, Manchester M60 1QD, UK;2.Key Laboratory of Integrated Automation for Process Industry, Ministry of Education, Northeastern University Shenyang 110004, P.R. China
Abstract:This paper presents a selected survey covering the advances of fault diagnosis and fault tolerant control using data driven techniques. A brief summary of the general developments in fault detection and diagnosis for industrial processes is given, which is then followed by discussions on the widely used data driven and knowledge-based techniques. A successful application example is also given, which deals with faults caused by the misplacement of control loop set points and several areas of potential future directions are included in the paper.
Keywords:Fault detection  fault diagnosis  fault tolerant control  data driven techniques
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