A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches

被引：379

作者：

Gao, Zhiwei ^{[1
]}

Cecati, Carlo ^{[2
,3
]}

Ding, Steven X. ^{[4
]}

机构：

[1] Northumbria Univ, Fac Engn & Environm, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England

[2] Univ Aquila, Dept Informat Engn Comp Sci & Math DISIM, I-67100 Laquila, Italy

[3] Harbin Inst Technol, Harbin 150001, Peoples R China

[4] Univ Duisburg Essen, Inst Automat Control & Complex Syst AKS, Fac Engn, D-47057 Duisburg, Germany

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2015年 / 62卷 / 06期

关键词：

Active fault diagnosis; analytical redundancy; fault tolerance; hybrid fault diagnosis; knowledge-based fault diagnosis; real-time monitoring; SUPPORT VECTOR MACHINES; SIGNED DIRECTED GRAPH; EXPERT-SYSTEM; MODEL; PCA; ANN;

D O I：

10.1109/TIE.2015.2419013

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This is the second-part paper of the survey on fault diagnosis and fault-tolerant techniques, where fault diagnosis methods and applications are overviewed, respectively, from the knowledge-based and hybrid/active viewpoints. With the aid of the first-part survey paper, the second-part review paper completes a whole overview on fault diagnosis techniques and their applications. Comments on the advantages and constraints of various diagnosis techniques, including model-based, signal-based, knowledge-based, and hybrid/active diagnosis techniques, are also given. An overlook on the future development of fault diagnosis is presented.

引用

页码：3768 / 3774

页数：7

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