A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
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.
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Sensor faults can be divided into three situations: bias fault, partial loss of effectiveness sensor fault, and outage case.
“It should be noted that sensor faults can be divided into three situations: bias fault (i.e., offsets, poor calibration, scaling errors), partial loss of effectiveness sensor fault, and the outage case [6, 17, 34].”
From Fault-tolerant control for an electro-hydraulic servo system with sensor fault compensation and disturbance rejection (2023) · cites this paper as [17]
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- Authors
- Gao, Z., Cecati, C., & Ding, S. X.
- Affiliations
- Northumbria University (GB)
- Harbin Institute of Technology (CN)
- University of Duisburg-Essen (DE)
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2015-06
- Volume
- 62
- Issue
- 6
- Pages
- 3757-3767
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W1597576211
- Cited by
- 3,135
- References
- 3
- Citations by year
- 2026: 195 · 2025: 296 · 2024: 359 · 2023: 332 · 2022: 355 · 2021: 382 · 2020: 342 · 2019: 347 · 2018: 215 · 2017: 186 · 2016: 102 · 2015: 23
- FWCI
- 162.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Industrial Electronics (publishedVersion)
- Northumbria Research Link (Northumbria University) (acceptedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi dell Aquila (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Engineering and Test Systems
- Keywords
- fault diagnosis, fault-tolerant control, real-time fault diagnosis, model-based fault diagnosis, fault detection, fault identification, industrial systems, safety-critical systems
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