12 research outputs found
Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review
YesSystem safety, reliability and risk analysis are important tasks that are performed throughout the system lifecycle to ensure the dependability of safety-critical systems. Probabilistic risk assessment (PRA) approaches
are comprehensive, structured and logical methods widely used for this purpose. PRA approaches include,
but not limited to, Fault Tree Analysis (FTA), Failure Mode and Effects Analysis (FMEA), and Event
Tree Analysis (ETA). Growing complexity of modern systems and their capability of behaving dynamically
make it challenging for classical PRA techniques to analyse such systems accurately. For a comprehensive
and accurate analysis of complex systems, different characteristics such as functional dependencies among
components, temporal behaviour of systems, multiple failure modes/states for components/systems, and
uncertainty in system behaviour and failure data are needed to be considered. Unfortunately, classical
approaches are not capable of accounting for these aspects. Bayesian networks (BNs) have gained popularity
in risk assessment applications due to their flexible structure and capability of incorporating most of the
above mentioned aspects during analysis. Furthermore, BNs have the ability to perform diagnostic analysis.
Petri Nets are another formal graphical and mathematical tool capable of modelling and analysing dynamic
behaviour of systems. They are also increasingly used for system safety, reliability and risk evaluation. This
paper presents a review of the applications of Bayesian networks and Petri nets in system safety, reliability
and risk assessments. The review highlights the potential usefulness of the BN and PN based approaches over
other classical approaches, and relative strengths and weaknesses in different practical application scenarios.This work was funded by the DEIS H2020 project (Grant Agreement 732242)
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The projects described in this report represent the Laboratory's investment in its future and are vital to maintaining the ability to develop creative solutions for the scientific and technical challenges faced by DOE and the nation. In accordance with DOE guidelines, the report provides, a) a director's statement, b) an overview of the laboratory's LDRD program, including PNNL's management process and a self-assessment of the program, c) a five-year project funding table, and d) project summaries for each LDRD project
A risk assessment framework for hazmat transportation in highways by colored petri nets
The management and control of vehicles transporting hazardous materials (hazmat) on congested highways has attracted growing attention from researchers in recent years. This paper proposes a decision support system (DSS) for monitoring hazmat vehicles, aimed at assessing two problems: evaluating the social risk induced by hazmat vehicles traveling in highways and selecting restoration procedures after an accident involving heavy vehicles. The proposed DSS can estimate in real time and offline the risk of hazmat transportation, by taking into account the type of transported hazmat, the traffic, and the density of populations living close to the highway. Two main modules of the DSS are specified: the risk assessment module and the simulation module (SM) that allows forecasting risk in different contexts and scenarios. In particular, the SM is realized by modeling the highway network in a colored Petri net (CPN) framework. In order to show the effectiveness and the applicability of the DSS, a prototype is described and applied to a highway in the North-east of Italy. \ua9 2013 IEEE
Safety and Reliability - Safe Societies in a Changing World
The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management
- mathematical methods in reliability and safety
- risk assessment
- risk management
- system reliability
- uncertainty analysis
- digitalization and big data
- prognostics and system health management
- occupational safety
- accident and incident modeling
- maintenance modeling and applications
- simulation for safety and reliability analysis
- dynamic risk and barrier management
- organizational factors and safety culture
- human factors and human reliability
- resilience engineering
- structural reliability
- natural hazards
- security
- economic analysis in risk managemen
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Bowdoin Orient v.133, no.1-24 (2003-2004)
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