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On-line Diagnostics of Large-Scale Industrial Processes

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Automatic Control, Robotics, and Information Processing

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 296))

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Abstract

Basic problems of on-line diagnostics of large-scale industrial processes have been characterized, as well as the methods aimed at solving them, focusing on the authors results obtained in the area of fault isolation. Particular attention was given to fault distinguishability, multiple faults isolation, inference methods of uncertain signals, decomposition of the system and diagnostics in decentralized structures, as well as the application of graph models in diagnostic systems design for industrial processes. Effective and robust diagnostic algorithms of complex dynamic large-scale systems and their implementation in the realized diagnostics systems are also described. The summary emphasizes the significance of on-line diagnostics in ensuring process safety.

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  1. Faculty of Mechatronics, Warsaw University of Technology, ul. Św. A. Boboli 8, Warsaw, 02-525, Poland

    Jan Maciej Kościelny

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  1. Jan Maciej Kościelny
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Correspondence to Jan Maciej Kościelny .

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  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Piotr Kulczycki

  2. Institute of Control and Computation Engineering, University of Zielona Góra, Zielona Góra, Poland

    Józef Korbicz

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Kościelny, J.M. (2021). On-line Diagnostics of Large-Scale Industrial Processes. In: Kulczycki, P., Korbicz, J., Kacprzyk, J. (eds) Automatic Control, Robotics, and Information Processing. Studies in Systems, Decision and Control, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030-48587-0_21

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