Methodology for computer aided fuzzy fault tree analysis

Ferdous, Refaul; Khan, Faisal; Veitch, Brian; Amyotte, Paul

doi:10.1016/j.psep.2009.04.004

Cited by 133 publications

(66 citation statements)

References 25 publications

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“…The fault tree diagram is a graphical model of various parallel and sequential arrangements of faults that can result in incidence of undesired events. The faults may comprise human errors, software errors, or any other errors, which can lead to undesired events [15]. In fault tree diagram, the undesired event is called top event, and the immediate causes of top events are called gate events.…”

Section: Methodsmentioning

confidence: 99%

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The Root Causes of Construction Project Failure

2017

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Abstract. Construction projects play an important role in the economic development of every country. Nevertheless, review of projects' documents indicates that, in most cases, the projects are not nished on assigned budget as scheduled, such that they sometimes loss their economic justi cation and simply fail. Consequently, devising suitable solutions is essential to the prevention of such failures. This is impossible without identifying the foremost causes of failure. In this study, rst, all factors of failure are identi ed using Fault Tree Analysis (FTA). FTA as a diagnostic tool allows us to e ciently isolate root causes of failure. To rank these factors, dedicated specialists are requested to assess the risk of each cause using linguistic terms; thereby, relevant calculations are carried out using the Linguistic Weighted Average (LWA). Undeniably, considering the complexity of construction projects and incomplete expert knowledge, judgments must not be made using crisp value conception. Hence, fuzzy theory is utilized to achieve more accurate results. Results indicate that the majority of problems in projects stem from nancial concerns and shortcomings of bidding process. In the last section, an actual case study is used to validate our results.

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Section: Methodsmentioning

confidence: 99%

“…First, through FTA and interview with the project managers, forty-two basic events were identi ed. Twenty-one identi ed basic events are basic events 2, 5,6,8,11,15,19,20,24,27,31,35,37,42,45, 50, 52, 53, 55, 56, and 57 of Figure 2. Other identi ed basic events are listed in Table 9.…”

Section: Case Studymentioning

confidence: 99%

The Root Causes of Construction Project Failure

2017

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“…Zheng Yanyi developed a fault tree automotive generation system based on decision lists [6]. Refaul Ferdous presented a methodology for a fuzzy based computer-aided fault tree analysis tool [7]. K. Durda Rao proposed a dynamic fault tree approach using Monte Carlo simulation in probabilistic safety assessment [8].…”

Section: Abstract-auv; Reliability Analysis; Fault Tree; Monte Carlo mentioning

confidence: 99%

Reliability analysis of an autonomous underwater vehicle using fault tree

Liu

2013

2013 IEEE International Conference on Information and Automation (ICIA)

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Abstract-Reliability is a very important specification for an autonomous underwater vehicle (AUV). The higher reliability can bring the shorter stop-working time and the lower maintenance cost. For a new AUV, reliability needs to be considered in advance during system design stage. This paper proposes a fault tree method for reliability analysis of the 4500m AUV. Firstly a fault tree model and its qualitative analysis are presented to determine the AUV's bottlenecks. Then the reliability is demonstrated by the Monte Carlo simulation. Finally some experiences are discussed to improve the AUV's reliability.

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“…Sarker, Wallace and Gill (2008) have ranked top ontology tools: Protege, Altova and TobBraid Composer [22]. Used extensively in process safety [24] to determine the possibility of an accidental event [7] using deductive reasoning to describe an accident model and to interpret the relationship between malfunctions of components or symptoms [25]. Checklist a list of items and possible problems in the process to verify that various requirements have been fulfilled and nothing is neglected or overlooked [12].…”

Section: A Ontologymentioning

confidence: 99%

Interoperation of elements in process safety management via ontology-oriented architecture

Hooi

Hassan

2012

2012 International Conference on Computer &Amp; Information Science (ICCIS)

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Abstract-This paper presents concepts of building a system using ontology to conduct risk identification in safety management of chemical processes. Manual risk identification requires laborious efforts in collecting and analyzing data for different process safety elements. Ontology provides intelligent integration of affected elements. Each element is represented by an ontology that provides future application with knowledge of process safety. In a distributed environment, each ontology can be represented by agent that exchanged the information to fulfill the requirement of the analysis.Index Terms-ontology, process safety management, hazard identification.

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Methodology for computer aided fuzzy fault tree analysis

Cited by 133 publications

References 25 publications

The Root Causes of Construction Project Failure

The Root Causes of Construction Project Failure

Reliability analysis of an autonomous underwater vehicle using fault tree

Interoperation of elements in process safety management via ontology-oriented architecture

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