Title :
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
Author :
Zhiwei Gao ; Cecati, Carlo ; Ding, Steven X.
Author_Institution :
Fac. of Eng. & Environ., Univ. of Northumbria, Newcastle upon Tyne, UK
Abstract :
With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and safety hazards, which greatly necessitates to detect and identify any kinds of potential abnormalities and faults as early as possible and implement real-time fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results have been reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade. In this paper, fault diagnosis approaches and their applications are comprehensively reviewed from model- and signal-based perspectives, respectively.
Keywords :
fault diagnosis; fault tolerant control; power system simulation; engineering systems; fault-tolerant control methods; industrial systems; model-based perspectives; performance degradation; productivity decrease; real-time fault diagnosis; real-time fault-tolerant operation; safety hazards; signal-based perspectives; Control systems; Fault diagnosis; Fault tolerant systems; Kalman filters; Observers; Redundancy; Analytical redundancy; fault tolerance; model-based fault diagnosis; real-time monitoring; signal-based fault diagnosis;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2015.2417501