Journal ArticleDOI
Texas City refinery accident: Case study in breakdown of defense-in-depth and violation of the safety–diagnosability principle in design
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In this paper, the authors propose a general safety-diagnosability principle for supporting accident prevention, which requires that all safety-degrading events or states that defense-in-depth is meant to protect against be diagnosable, and that breaches of safety barriers be unambiguously monitored and reported.About:
This article is published in Engineering Failure Analysis.The article was published on 2014-01-01. It has received 52 citations till now.read more
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Near-miss management systems and observability-in-depth: Handling safety incidents and accident precursors in light of safety principles
TL;DR: In this article, the authors present an updated review and synthesis of key ideas and challenges of NMS, and examine important synergies between fundamental safety principles adopted in risk management, including defense and observability-in-depth, and NMS.
Journal ArticleDOI
Abnormal situation management: Challenges and opportunities in the big data era
TL;DR: A new framework is proposed based on the big data in a cloud computing environment of a big chemical corporation for addressing the challenging issues in ASM.
Journal ArticleDOI
System Safety Principles: A Multidisciplinary Engineering Perspective
TL;DR: This work proposes a set of five safety principles, which are domain-independent, technologically agnostic, and broadly applicable across industries, and relates these principles to the notions of hazard level, accident sequence, and conditional probabilities of further hazard escalation or advancement of an accident sequence.
Journal ArticleDOI
An Accident Causation Analysis and Taxonomy (ACAT) model of complex industrial system from both system safety and control theory perspectives
Weijun Li,Laibin Zhang,Wei Liang +2 more
TL;DR: A new model for accident causation analysis and classification, named Accident Causation Analysis and Taxonomy (ACAT) model is presented from both system safety perspective and control theory perspective and the case of BP Texas refinery accident is used to illustrate its capability.
Journal ArticleDOI
Learning how to learn from failures:the Fukushima nuclear disaster
Ashraf Labib,M.J. Harris +1 more
TL;DR: In this paper, the authors present a multi-model analysis of the Fukushima nuclear reactor disaster, which can enrich the modelling of causal factors, provide insight into policy making and support decisions for resource allocations to prevent such disasters.
References
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Journal ArticleDOI
Toward a Theory of Situation Awareness in Dynamic Systems
TL;DR: A theoretical model of situation awareness based on its role in dynamic human decision making in a variety of domains is presented and design implications for enhancing operator situation awareness and future directions for situation awareness research are explored.
Book
Managing the risks of organizational accidents
TL;DR: In this article, the authors present a practical guide to error management and a safety culture that reconciles the different approaches to safety management, including the human contribution and the regulator's unhappy lot.
Journal ArticleDOI
Risk management in a dynamic society: a modelling problem
TL;DR: It is argued that risk management must be modelled by cross-disciplinary studies, considering risk management to be a control problem and serving to represent the control structure involving all levels of society for each particular hazard category, and that this requires a system-oriented approach based on functional abstraction rather than structural decomposition.
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A review of process fault detection and diagnosis: Part III: Process history based methods
TL;DR: This final part discusses fault diagnosis methods that are based on historic process knowledge that need to be addressed for the successful design and implementation of practical intelligent supervisory control systems for the process industries.
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A new accident model for engineering safer systems
TL;DR: In this paper, the authors present a new accident model based on basic systems theory concepts, which provides a theoretical foundation for the introduction of unique new types of accident analysis, hazard analysis, accident prevention strategies including new approaches to designing for safety, risk assessment techniques, and approaches to design performance monitoring and safety metrics.