Application of Fault Tree Analysis for Evaluating Reliability and Risk Assessment of a Thermal Power Plant

Bhangu, Navneet Singh; Pahuja, G. L.; Singh, Rupinder

doi:10.1080/15567036.2012.664608

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…Though the specific rework scenario is unknown in advance, the set H of all rework scenarios can be determined by applying the fault tree analysis (FTA) to the assembly process. FTA has been used for analyzing the reliability and safety of complex systems (Chen et al, 2013;Bhangu et al, 2015). In our case, failing the detection is taken as the top event of the fault tree, while one of the corresponding unqualified activities serves as a basic fault event.…”

Section: Problem Definitionmentioning

confidence: 99%

Modeling and algorithm for resource-constrained multi-project scheduling problem based on detection and rework

Zhu

Liu

et al. 2021

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Purpose To meet the requirement of establishing an effective schedule for the assembly process with overall detection and rework, this paper aims to address a new problem named resource-constrained multi-project scheduling problem based on detection and rework (RCMPSP-DR). Design/methodology/approach First, to satisfy both online and offline scheduling, a mixed integer programming model is established with a weighted bi-objective minimizing the expected makespan and the solution robustness. Second, an algorithm that combines a tabu search framework with a critical chain-based baseline generation scheme is designed. The tabu search framework focuses on searching for a reasonable resource flow representing the execution sequence of activities, while the critical chain-based baseline generation scheme establishes a buffered baseline schedule by estimating the tradeoff between two aspects of bi-objective. Findings The proposed algorithm can get solutions with gaps from −4.45% to 2.33% when compared with those obtained by the commercial MIP solver CPLEX. Moreover, the algorithm outperforms four other algorithms in terms of both objective performance and stability over instances with different weighting parameters, which reveals its effectiveness. Originality/value The represented RCMPSP-DR considering the overall detection and rework is an extension of the scheduling problem for large-scale equipment. An effective algorithm is proposed to establish the baseline schedule and determine the execution sequence of activities for the assembly process, which is significant for practical engineering applications.

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Section: Problem Definitionmentioning

confidence: 99%

Modeling and algorithm for resource-constrained multi-project scheduling problem based on detection and rework

Zhu

Liu

et al. 2021

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“…This method was first introduced by Watson in 1961 and was successfully applied to the analysis and design of Minuteman missile launch control systems [10]. Since then, FTA has been widely used in reliability assessment and risk analysis [11,12]. For example, FTA is commonly applied to the reliability analysis of petrochemical plants [13,14], the identification and analysis of hazard sources in the environment [15], and the safety and accident evaluation of nuclear reactors [2].…”

Section: Introductionmentioning

confidence: 99%

Towards a Systematic Description of Fault Tree Analysis Studies Using Informetric Mapping

et al. 2022

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Fault tree analysis (FTA) is one of the important analysis methods of safety system engineering commonly utilized in various industries to evaluate and improve the reliability and safety of complex systems. To grasp the current situation and development trend of FTA research and to further point out FTA’s future development directions, 1469 FTA-related articles from the literature were retrieved from the SCIE and SSCI databases. Informetric methods, including co-authorship analysis, co-citation analysis and co-occurrence analysis, were adopted for analyzing the cooperation relationship, research knowledge base, research hotspots and frontier in the FTA research field. The results show that China has the highest number of publications, and the Loughborough University of England has the highest number of publications of relevant institutions. Dynamic fault tree analysis, fuzzy fault tree analysis and FTA based on binary decision diagrams are recognized as the knowledge bases in FTA studies. “Reliability Engineering and System Safety”, “Safety Science” and “Fuzzy Sets and Systems” are the core journals in this field. Fuzzy fault tree analysis, dynamic fault tree analysis based on Bayesian networks and FTA combined with management factors may be both the main research hotspots and the frontiers. Then, by deriving the above results, this study can help scholars better master the current research status and frontiers of FTA to improve system reliability and safety.

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“…The causes of system failure are represented as logical relationships among different system components' failure (i.e., basic events (BEs) in a fault tree) and Boolean gates such as 'AND' and 'OR' gates are used to represent these relationships. Even though fault tree analysis has some limitations, it has been widely applied for systems reliability and risk assessment (Bhangu et al, 2015;Renjith et al, 2010;Ramesh and Saravannan, 2011;Ferdous et al, 2009;Khan et al, 2002;Khan and Abbasi, 2000). Classical fault trees are not suitable for capturing time-dependent behaviour and it is not suitable for analysing systems if there are mutually exclusive basic events or common cause failures.…”

Section: Introductionmentioning

confidence: 99%

Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks

Kabir

Taleb‐Berrouane

Papadopoulos

2019

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Flaring is a combustion process commonly used in the oil and gas industry to dispose flammable waste gases. Flare flameout occurs when these gases escape unburnt from the flare tip causing the discharge of flammable and/or toxic vapor clouds. The toxic gases released during this process have the potential to initiate safety hazards and cause serious harm to the ecosystem and human health. Flare flameout could be caused by environmental conditions, equipment failure and human error. However, to better understand the causes of flare flameout, a rigorous analysis of the behaviour of flare systems under failure conditions is required. In this article, we used fault tree analysis (FTA) and the dynamic Bayesian network (DBN) to assess the reliability of flare systems. In this study, we analysed 40 different combinations of basic events that can cause flare flameout to determine the event with the highest impact on system failure. In the quantitative analysis, we use both constant and time-dependent failure rates of system components. The results show that combining these two approaches allows for robust probabilistic reasoning on flare system reliability, which can help improving the safety and asset integrity of process facilities. The proposed DBN model constitutes a significant step to improve the safety and reliability of flare systems in the oil and gas industry.

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Application of Fault Tree Analysis for Evaluating Reliability and Risk Assessment of a Thermal Power Plant

Cited by 10 publications

References 5 publications

Modeling and algorithm for resource-constrained multi-project scheduling problem based on detection and rework

Modeling and algorithm for resource-constrained multi-project scheduling problem based on detection and rework

Towards a Systematic Description of Fault Tree Analysis Studies Using Informetric Mapping

Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks

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