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Fault Detection and Diagnosis: Computational Issues and Tools

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Encyclopedia of Systems and Control
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Abstract

Two basic fault diagnosis problems are formulated for linear time-invariant systems with additive faults, and general existence conditions of their solutions are given. Several computational paradigms are discussed, which are instrumental for the development of efficient and numerically reliable synthesis procedures for the design of fault detection filters. An overview of the available computational software tools is presented.

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Bibliography

  • MathWorks (2015) Control system toolbox (R2015b), user’s guide. The MathWorks Inc., Natick

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  • Varga A (2006) A fault detection toolbox for Matlab. In: Proceedings of the IEEE conference on computer aided control system design, Munich, pp 3013–3018

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  • Varga A (2017) Solving fault diagnosis problems – linear synthesis techniques. Studies in systems, decision and control, vol 84. Springer International Publishing

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  • Varga A (2018a) Descriptor system tools (DSTOOLS) V0.71, user’s guide. https://arxiv.org/abs/1707.07140

  • Varga A (2018b) Fault detection and isolation tools (FDITOOLS) V1.0, user’s guide. https://arxiv.org/abs/1703.08480

  • Varga A (2019a) Descriptor system techniques and software tools. https://arxiv.org/abs/1902.00009

  • Varga A (2019b) Fault detection and diagnosis: computational issues and tools. https://arxiv.org/abs/1902.11186

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Correspondence to Andreas Varga .

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Varga, A. (2021). Fault Detection and Diagnosis: Computational Issues and Tools. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, Cham. https://doi.org/10.1007/978-3-030-44184-5_100055

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