IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v96y2011i1p184-193.html
   My bibliography  Save this article

Augmenting defense-in-depth with the concepts of observability and diagnosability from Control Theory and Discrete Event Systems

Author

Listed:
  • Bakolas, Efstathios
  • Saleh, Joseph H.

Abstract

Defense-in-depth is a fundamental principle/strategy for achieving system safety. First conceptualized within the nuclear industry, defense-in-depth is the basis for risk-informed decisions by the U.S. Nuclear Regulatory Commission, and is recognized under various names in other industries (e.g., layers of protection in the Chemical industry). Accidents typically result from the absence or breach of defenses or violation of safety constraints. Defense-in-depth is realized by a diversity of safety barriers and a network of redundancies. However, this same redundancy and the intrinsic nature of defense-in-depth – the multiple lines of defense or “protective layers†along a potential accident sequence – may enhance mechanisms concealing the occurrence of incidents, or that the system has transitioned to a hazardous state (accident pathogens) and that an accident is closer to being released. Consequently, the ability to safely operate the system may be hampered and the efficiency of defense-in-depth may be degraded or worse may backfire. Several accidents reports identified hidden failures or degraded observability of accidents pathogens as major contributing factors.

Suggested Citation

  • Bakolas, Efstathios & Saleh, Joseph H., 2011. "Augmenting defense-in-depth with the concepts of observability and diagnosability from Control Theory and Discrete Event Systems," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 184-193.
  • Handle: RePEc:eee:reensy:v:96:y:2011:i:1:p:184-193
    DOI: 10.1016/j.ress.2010.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S095183201000205X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2010.09.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Saleh, J.H. & Marais, K.B. & Bakolas, E. & Cowlagi, R.V., 2010. "Highlights from the literature on accident causation and system safety: Review of major ideas, recent contributions, and challenges," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1105-1116.
    2. Duijm, Nijs Jan, 2009. "Safety-barrier diagrams as a safety management tool," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 332-341.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Favarò, Francesca M. & Saleh, Joseph H., 2016. "Toward risk assessment 2.0: Safety supervisory control and model-based hazard monitoring for risk-informed safety interventions," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 316-330.
    2. Wu, Chao & Huang, Lang, 2019. "A new accident causation model based on information flow and its application in Tianjin Port fire and explosion accident," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 73-85.
    3. Han, Fangyuan & Zio, Enrico, 2019. "A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 1-13.
    4. Raghvendra V. Cowlagi & Joseph H. Saleh, 2013. "Coordinability and Consistency in Accident Causation and Prevention: Formal System Theoretic Concepts for Safety in Multilevel Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 420-433, March.
    5. Fangyuan Han & Enrico Zio, 2018. "Modeling an electric power microgrid by model predictive control for analyzing its characteristics from reliability, controllability and topological perspectives," Journal of Risk and Reliability, , vol. 232(2), pages 216-224, April.
    6. Saleh, Joseph H. & Pendley, Cynthia C., 2012. "From learning from accidents to teaching about accident causation and prevention: Multidisciplinary education and safety literacy for all engineering students," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 105-113.
    7. Farahmand, Hamed & Liu, Xueming & Dong, Shangjia & Mostafavi, Ali & Gao, Jianxi, 2022. "A Network Observability Framework for Sensor Placement in Flood Control Networks to Improve Flood Situational Awareness and Risk Management," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    8. Rui Huang & Hui Liu & Hongliang Ma & Yujie Qiang & Kai Pan & Xiaoqing Gou & Xin Wang & Dong Ye & Haining Wang & Adam Glowacz, 2022. "Accident Prevention Analysis: Exploring the Intellectual Structure of a Research Field," Sustainability, MDPI, vol. 14(14), pages 1-26, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saleh, Joseph H. & Pendley, Cynthia C., 2012. "From learning from accidents to teaching about accident causation and prevention: Multidisciplinary education and safety literacy for all engineering students," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 105-113.
    2. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of safety barrier performance in the mitigation of domino scenarios caused by Natech events," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    3. Churchwell, Jared S. & Zhang, Katherine S. & Saleh, Joseph H., 2018. "Epidemiology of helicopter accidents: Trends, rates, and covariates," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 373-384.
    4. Konstandinidou, Myrto & Nivolianitou, Zoe & Kefalogianni, Eirini & Caroni, Chrys, 2011. "In-depth analysis of the causal factors of incidents reported in the Greek petrochemical industry," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1448-1455.
    5. Faiella, Giuliana & Parand, Anam & Franklin, Bryony Dean & Chana, Prem & Cesarelli, Mario & Stanton, Neville A. & Sevdalis, Nick, 2018. "Expanding healthcare failure mode and effect analysis: A composite proactive risk analysis approach," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 117-126.
    6. Casson Moreno, Valeria & Guglielmi, Daniele & Cozzani, Valerio, 2018. "Identification of critical safety barriers in biogas facilities," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 81-94.
    7. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of risk modification due to safety barrier performance degradation in Natech events," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    8. Saleh, Joseph H. & Saltmarsh, Elizabeth A. & Favarò, Francesca M. & Brevault, Loïc, 2013. "Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 148-154.
    9. Zhou, Di & Zhuang, Xiao & Zuo, Hongfu & Cai, Jing & Zhao, Xufeng & Xiang, Jiawei, 2022. "A model fusion strategy for identifying aircraft risk using CNN and Att-BiLSTM," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    10. J. S. Busby & A. M. Collins, 2014. "Organizational Sensemaking About Risk Controls: The Case of Offshore Hydrocarbons Production," Risk Analysis, John Wiley & Sons, vol. 34(9), pages 1738-1752, September.
    11. Wu, Chao & Huang, Lang, 2019. "A new accident causation model based on information flow and its application in Tianjin Port fire and explosion accident," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 73-85.
    12. Zhang, Weibin & Feng, Xinyu & Goerlandt, Floris & Liu, Qing, 2020. "Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    13. Kontogiannis, Tom & Malakis, Stathis, 2012. "A systemic analysis of patterns of organizational breakdowns in accidents: A case from Helicopter Emergency Medical Service (HEMS) operations," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 193-208.
    14. Saleh, J.H. & Marais, K.B. & Bakolas, E. & Cowlagi, R.V., 2010. "Highlights from the literature on accident causation and system safety: Review of major ideas, recent contributions, and challenges," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1105-1116.
    15. Raghvendra V. Cowlagi & Joseph H. Saleh, 2013. "Coordinability and Consistency in Accident Causation and Prevention: Formal System Theoretic Concepts for Safety in Multilevel Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 420-433, March.
    16. Favarò, Francesca M. & Saleh, Joseph H., 2016. "Toward risk assessment 2.0: Safety supervisory control and model-based hazard monitoring for risk-informed safety interventions," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 316-330.
    17. Alsulieman, Abdullah & Ge, Xihe & Zeng, Zhiguo & Butenko, Sergiy & Khan, Faisal & El-Halwagi, Mahmoud, 2024. "Dynamic risk analysis of evolving scenarios in oil and gas separator," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    18. Foreman, Veronica L. & Favaró, Francesca M. & Saleh, Joseph H. & Johnson, Christopher W., 2015. "Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 101-111.
    19. Deng, Wanyi & Ma, Xiaoxue & Qiao, Weiliang, 2024. "A novel methodology to quantify the impact of safety barriers on maritime operational risk based on a probabilistic network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    20. Park, Jinkyun & Jung, Wondea, 2015. "A systematic framework to investigate the coverage of abnormal operating procedures in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 21-30.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:96:y:2011:i:1:p:184-193. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.