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Introduction, Preliminaries and I/O Data Set Models

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Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

Part of the book series: Advances in Industrial Control ((AIC))

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Abstract

Process monitoring and fault diagnosis for dynamic processes are currently receiving considerably increasing attention in the application and research domains. Thanks to their intimate relations to automatic control systems, model-based schemes are widely accepted as a powerful technology in dealing with process monitoring and fault diagnosis for dynamic processes.

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Authors and Affiliations

  1. Institute for Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Duisburg, Germany

    Steven X. Ding

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  1. Steven X. Ding
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Correspondence to Steven X. Ding .

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Ding, S.X. (2014). Introduction, Preliminaries and I/O Data Set Models. In: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-6410-4_8

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  • DOI: https://doi.org/10.1007/978-1-4471-6410-4_8

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-6409-8

  • Online ISBN: 978-1-4471-6410-4

  • eBook Packages: EngineeringEngineering (R0)

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