信息与控制2012，Vol.41Issue(3)：356-364,9.DOI:10.3724/SP.J.1219.2012.00356
基于解析模型的非线性系统故障诊断方法综述
Fault Diagnosis of Nonlinear Systems Based on Analytical Models: A Survey
摘要
Abstract
A survey on analytical model-based fault diagnosis of nonlinear systems is presented. The analytical model based nonlinear fault diagnosis methods are summarized into four categories: nonlinear observer-based approaches, filter-based approaches, differential geometry approaches and adaptive learning approaches. The basic ideas and main research results of each approach in recent 10 years are reviewed in detail, and the advantages and the disadvantages of the methods and the hot research topics are introduced. Finally, some application examples are discussed, and some open issues in fault diagnosis of nonlinear systems and its future research directions are pointed out.关键词
故障诊断/非线性观测器/滤波器/微分几何方法/自适应学习方法Key words
fault diagnosis/ nonlinear observer/ filter/ differential geometry approach/ adaptive learning approach分类
信息技术与安全科学引用本文复制引用
贾庆贤,张迎春,管宇,陈雪芹..基于解析模型的非线性系统故障诊断方法综述[J].信息与控制,2012,41(3):356-364,9.基金项目
中国博士后科学金资助项目 (20090450126) （20090450126）
国家863计划资助项目(2008AA702101) （2008AA702101）
微小型航天器技术国防重点学科实验室开放基金资助项目(HITKLOF2009092). （HITKLOF2009092）
