Approximate estimation of system reliability via fault trees

Dutuit, Yves; Rauzy, Antoine

doi:10.1016/j.ress.2004.02.008

Cited by 67 publications

(37 citation statements)

References 11 publications

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“…Dutuit and A. Rauzy focuses on estimating the reliability of a system that is made up of both repairable and non-repairable components. Four algorithms are considered: the Murchland lower bound, the Barlow-Proschan lower bound, the Vesely full approximation and the Vesely asymptotic approximation, and the results are compared [19]. The fault tree is constructed by means of binary decision diagram (BDD) and it is presented on different examples.…”

Section: Low Accuracy Of Resultsmentioning

confidence: 99%

Reliability Analysis Using Fault Tree Analysis: A Review

Baig¹,

Ruzli²,

Buang³

2013

IJCEA

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Abstract-This paper reviews the literature published on the recent modifications made in the field of risk assessment using Fault Tree Analysis (FTA)in the last decade. This method was developed in 1960's for the evaluation and estimation of system reliability and safety. In this paper we have presented the general procedure for FTA, its application in various fields and the modifications that have been made through the time to overcome the inadequacies of the method. In the last section some of the future wok is also discussed with a simplified methodology.Index Terms-Fault tree analysis (FTA), risk assessment, reliability and safety, hazard analysis, FTA modification.

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Section: Low Accuracy Of Resultsmentioning

confidence: 99%

Reliability Analysis Using Fault Tree Analysis: A Review

Baig¹,

Ruzli²,

Buang³

2013

IJCEA

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“…Shalev and Tiran (2007) presented a new method for improved fault trees, reliability and safety calculations using condition-based fault tree analysis (CBFTA). Dutuit and Rauzy (2005) also used fault trees for approximate estimation of system reliability. Contini and Matuzas (2011) used functional decomposition for analysis of large fault trees.…”

Section: Literature Reviewmentioning

confidence: 99%

Classification and Analysis of Hazardous Conditions and Near Misses by Using Fault Trees: A Case Application in Oil Industry

Savsar¹,

Al-Ali²

2017

CUBR

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This paper presents a study which deals with the analysis of hazardous conditions and near misses using the fault trees. These conditions may lead to accidents and catastrophes. In particular, specific data are collected on the situations or disorders that could lead to hazardous and near miss conditions in a company. A near miss is an occurrence of an event that could almost result in a catastrophe. Based on the collected data, approximate probabilities are assigned to various basic events and a risk assessment is made for the final events, such as the hazardous and the near-miss events. The analysis was useful in identifying all the related sub-events and basic events in a fault tree structure in addition to determining the probability of final events. In addition to evaluation of associated risks, cost analysis was also carried out to determine possible accident prevention costs. These types of analysis help the managers to visually see all the possibilities and to take the necessary actions for eliminating possible causes of accidents and increasing the safety to a maximum possible level.

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“…Comment. In many cases, there are also efficient analytical algorithms for computing the desired probability of the system's failure; see, e.g., [4][5][6]16]. …”

Section: Simplest Case: Component Failures Are Independent and Failurmentioning

confidence: 99%

Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance

Kreinovitch

Jacob

Dubois

et al. 2011

Advances in Soft Computing

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Abstract. In many real-life applications (e.g., in aircraft maintenance), we need to estimate the probability of failure of a complex system (such as an aircraft as a whole or one of its subsystems). Complex systems are usually built with redundancy allowing them to withstand the failure of a small number of components. In this paper, we assume that we know the structure of the system, and, as a result, for each possible set of failed components, we can tell whether this set will lead to a system failure. For each component A, we know the probability P (A) of its failure with some uncertainty: e.g., we know the lower and upper bounds P (A) and P (A) for this probability. Usually, it is assumed that failures of different components are independent events. Our objective is to use all this information to estimate the probability of failure of the entire the complex system. In this paper, we describe a new efficient method for such estimation based on Cauchy deviates.

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Approximate estimation of system reliability via fault trees

Cited by 67 publications

References 11 publications

Reliability Analysis Using Fault Tree Analysis: A Review

Reliability Analysis Using Fault Tree Analysis: A Review

Classification and Analysis of Hazardous Conditions and Near Misses by Using Fault Trees: A Case Application in Oil Industry

Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance

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