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Tytuł artykułu

Cognitive engineering and functional safety technology for reducing risks in hazardous plants

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Cognitive engineering is considered nowadays as interesting multidisciplinary domain that focuses on improving the relations between humans and the systems that are supervised and operated. The industrial automation and control systems (IACS) in hazardous plants are increasingly computerized and perform various safety functions. These are designed and implemented according to the functional safety concept. The objective is to maintain high performance / productivity and reduce various risks related to identified hazards and threats. An approach is proposed to apply selected cognitive engineering methods for verifying the design of the functional safety technology implemented in given hazardous plant in context of defined safety functions, operator interfaces, communication means and procedures. The methodology developed might be applied for functional safety management in life cycle of industrial hazardous plants and oil port terminals.
Rocznik
Strony
73--86
Opis fizyczny
Bibliogr. 29 poz., rys., wykr.
Twórcy
autor
  • Gdańsk University of Technology, Gdańsk, Poland
Bibliografia
  • [1] API 2350 (2012). Overfill Protection for Storage Tanks in Petroleum Facilities, ANSI/API Standard 2350.
  • [2] Bonaceto, C., Burns, K. (2005). Using Cognitive Engineering to Improve Systems Engineering. MITRE Corporation, Bedford.
  • [3] Carey, M. (2001). Proposed Framework for Addressing Human Factors in IEC 61508. Prepared by Amey VECTRA Ltd. for Health and Safety Executive (HSE), U.K. Contract Research Report 373.
  • [4] EEMUA (2007). Publication 191: Alarm Systems, A Guide to Design, Management and Procurement (Edition 2). The Engineering Equipment and Materials Users’ Association. London.
  • [5] Embrey, D. (2000). Task analysis techniques. Human Reliability Associates Ltd.
  • [6] Froome, P. & Jones, C. (2002). Developing advisory software to comply with IEC 61508. Contract Research Report 419. HSE Books.
  • [7] Gersh, J.R., McKneely, J.A. & Remington, R.W. (2005). Cognitive Engineering: Understanding Human Interaction with Complex Systems. John Hopkins Technical Digest, Vol. 26, No. 4.
  • [8] Gertman, I.D., Blackman, H.S. (1994). Human Reliability and Safety Analysis Data Handbook. John Wiley & Sons, Wiley-Interscience Publication, New York.
  • [9] HRA-HSE (2009). Review of human reliability assessment methods. Research Report RR679 prepared for Health and Safety Executive.
  • [10] IEC 61508 (2010). Functional Safety of Electrical/ Electronic/ Programmable Electronic Safety-Related Systems, Parts 1-7. International Electrotechnical Commission, Geneva.
  • [11] IEC 61511 (2016). Functional safety: Safety Instrumented Systems for the Process Industry Sector. Parts 1-3. International Electrotechnical Commission, Geneva.
  • [12] IEC 62443 (2013). Security for industrial automation and control systems. Parts 1-13 (undergoing development). International Electrotechnical Commission, Geneva.
  • [13] ISO 31000 (2009). Risk management - Principles and guidelines. International Organization for Standardization, Geneva.
  • [14] Kirwan, B., & Ainsworth, L. K. (1992). A guide to task analysis. New York: Taylor and Francis.
  • [15] Kirwan, B. (1994). A Guide to Practical Human Reliability Assessment. CRC Press, London.
  • [16] Kosmowski, K.T. (1995). Issues of the human reliability analysis in the context of probabilistic studies. International Journal of Occupational Safety and Ergonomics, Vol. 1:3 (276-293).
  • [17] Kosmowski, K.T. (2006). Functional Safety Concept for Hazardous System and New Challenges. Journal of Loss Prevention in the Process Industries 19 (298-305).
  • [18] Kosmowski, K.T. (2011). Functional Safety Analysis including Human Factors. International Journal of Performability Engineering 7 (1), 6176.
  • [19] Kosmowski, K.T. (2013). Functional safety and reliability analysis methodology for hazardous industrial plants. Gdańsk University of Technology Publishers.
  • [20] Kosmowski, K.T. & Śliwiński, M. (2015). Knowledge-based functional safety and security management in hazardous industrial plants with emphasis on human factors. In: Advanced Systems for Automation and Diagnostics, PWNT, Gdańsk.
  • [21] Lintern, G. (2012). Cognitive Systems Engineering. Cognitive Systems Design, Melbourne.
  • [22] LOPA (2001). Layer of Protection Analysis, Simplified Process Risk Assessment. Center for Chemical Process Safety. American Institute of Chemical Engineers, New York.
  • [23] Rasmussen, J. (1983). Skills, rules, knowledge; signals, signs and symbols and other distinctions on human performance models. IEEE Transaction on Systems, Man and Cybernetics, SMC-13/3.
  • [24] Rasmussen, J., Svedung, I. (2000). Proactive Risk Management in a Dynamic Society. Swedish Rescue Services Agency, Karlstad.
  • [25] Reason, J. (1990). Human Error. Cambridge University Press.
  • [26] SPAR-H (2005). Human Reliability Analysis (HRA) Method, NUREG/CR-6883, INL/EXT05-00509, USNRC.
  • [27] Swain, A.D. & Guttmann, H.E. (1983). Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications.NUREG/CR-1278. Washington: US Nuclear Regulatory Commission.
  • [28] UN (2006). Maritime security: elements of an analytical framework for compliance measurement and risk assessment. United Nations, New York and Geneva.
  • [29] Wilson, R.A. & Keil F.C. (Eds.) (1999). The MIT Encyclopedia of the Cognitive Sciences. A Bradford Book, Massachusetts Institute of Technology (MIT), The MIT Press.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d10af07d-80e2-4a64-8a0f-9c3ed2ac286f
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