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Human Factors and Cognitive Engineering in Functional Safety Analysis

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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

Human factors and cognitive engineering are considered nowadays as important multidisciplinary domains that focus on improving the relations between humans, technology and systems to be supervised and operated. The industrial automation and control systems (IACS) in hazardous plants are increasingly computerized and perform various safety functions. These are usually designed and implemented according to the functional safety requirements. The objective is to maintain high performance and productivity of the plant, and reduce risks related to identified hazards and threats. An approach is proposed to apply selected cognitive engineering methods for verifying the design of safety systems to be implemented in hazardous plant in context of defined safety functions, operator interfaces, procedures and other factors influencing risks.

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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). Human Factors and Cognitive Engineering in Functional Safety Analysis. 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_37

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  • DOI: https://doi.org/10.1007/978-3-319-64474-5_37

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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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