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Safety Integrity Verification Issues of the Control Systems for Industrial Process Plants

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Advanced Solutions in Diagnostics and Fault Tolerant Control (DPS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 635))

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Abstract

The aim of this article is to identify and discuss some issues that can be encountered in designing the industrial automation and control systems (IACS) for implementing safety functions. In a functional safety standard IEC 61511 for the process industry such systems are named the basic process control systems (BPCS) and the safety instrumented systems (SIS). In a generic functional safety standard IEC 61508 they are depicted as the electric/electronic/programmable electronic systems (E/E/PES). The role of these systems is to implement safety functions for effective reducing and controlling the individual risk and/or societal risk in life cycle in relation to tolerable risk levels defined for given hazardous plant. Some aspects of potential influence of danger failures of the E/E/PES or SIS on the plant safety are considered. The influence of common cause failures (CCF) in verifying the safety integrity levels (SIL) achieved by safety functions is evaluated and discussed.

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Author information

Authors and Affiliations

  1. Faculty of Electrical and Control Engineering, Gdansk University of Technology, Gdansk, Poland

    Kazimierz T. Kosmowski

Authors
  1. Kazimierz T. Kosmowski
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Correspondence to Kazimierz T. Kosmowski .

Editor information

Editors and Affiliations

  1. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Jan M. Kościelny

  2. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Michał Syfert

  3. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Anna Sztyber

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Kosmowski, K.T. (2018). Safety Integrity Verification Issues of the Control Systems for Industrial Process Plants. In: Kościelny, J., Syfert, M., Sztyber, A. (eds) Advanced Solutions in Diagnostics and Fault Tolerant Control. DPS 2017. Advances in Intelligent Systems and Computing, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-319-64474-5_36

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  • DOI: https://doi.org/10.1007/978-3-319-64474-5_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64473-8

  • Online ISBN: 978-3-319-64474-5

  • eBook Packages: EngineeringEngineering (R0)

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