A survey of fault diagnosis and fault-tolerant techniques- Part I: fault diagnosis With model-based and signal-based approaches

Gao, Zhiwei, Cecati, Carlo and Ding, Steven X. (2015) A survey of fault diagnosis and fault-tolerant techniques- Part I: fault diagnosis With model-based and signal-based approaches. IEEE Transactions on Industrial Electronics, 62 (6). pp. 3757-3767. ISSN 0278-0046

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Official URL: http://dx.doi.org/10.1109/TIE.2015.2417501


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.

Item Type: Article
Additional Information: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: analytical redundancy, fault tolerance, real-time monitoring
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Dr Zhiwei Gao
Date Deposited: 15 May 2015 08:26
Last Modified: 01 Aug 2021 09:04
URI: http://nrl.northumbria.ac.uk/id/eprint/22479

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