Abstract
The fundamental concepts and methods of fault detection and diagnosis are reviewed. Faults are defined and classified as additive or multiplicative. The model-free approach of alarm systems is described and critiqued. Residual generation, using the mathematical model of the plant, is introduced. The propagation of additive and multiplicative faults to the residuals is discussed, followed by a review of the effect of disturbances, noise, and model errors. Enhanced residuals (structured and directional) are introduced. The main residual generation techniques are briefly described, including direct consistency relations, parity space, and diagnostic observers. Principal component analysis and its application to fault detection and diagnosis are outlined. The article closes with some thoughts about future directions.
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© 2014 Springer-Verlag London
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Gertler, J. (2014). Fault Detection and Diagnosis. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_223-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_223-1
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Publisher Name: Springer, London
Online ISBN: 978-1-4471-5102-9
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Latest
Fault Detection and Diagnosis- Published:
- 30 August 2020
DOI: https://doi.org/10.1007/978-1-4471-5102-9_223-2
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Fault Detection and Diagnosis- Published:
- 20 May 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_223-1