Direct evaluation of fault trees using object-oriented programming techniques

Patterson-Hine, F. A.; Koen, B.V.

doi:10.1109/24.31103

Cited by 25 publications

(8 citation statements)

References 5 publications

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“…e.g. Prime Implication(PI) [6,7] Binary Decision Diagram (BBD) [8], Markov regenerative stochastic Petri nets [9], Shannon expansion using truncation [10], Object oriented approaches [11], Factoring theorem [12], or Pattern recognition [13].However, UDMC is a repairable system, those method is not appropriate.…”

Section: A Methodology For Quantitative Reliability Analysismentioning

confidence: 97%

Evaluation of reliability and safety for an underwater dry maintenance cabin

Liang

Hong

Zhang

et al. 2009

2009 8th International Conference on Reliability, Maintainability and Safety

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Effectiveness of an underwater dry maintenance cabin (UDMC) is mainly determined by its reliability, availability and safety. In this paper, the reliability and safety of a UDMS is evaluated qualitatively and quantitatively via fault tree analysis (FTA). According to the composition, mission characteristic and operational condition of the UDMC, three kinds of typical failure patterns are identified. All ultimate causes, or combination of causes that are responsible for or contribute to the top events, are recognized via FTA. Then, based on minimum cut sets, probability of system failure is calculated by numerical simulations which show that UDMC is of high reliability and safety. Moreover, with the aid of theory of the critical importance, the weak links of the system, which are required in making an effective preventative maintenance strategy, are identified. Finally, suggestions to improve the reliability and safety of the UDMC are proposed ① .

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Section: A Methodology For Quantitative Reliability Analysismentioning

confidence: 97%

Evaluation of reliability and safety for an underwater dry maintenance cabin

Liang

Hong

Zhang

et al. 2009

2009 8th International Conference on Reliability, Maintainability and Safety

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“…The symbolic extension allows for both the situations where timings are unknown, or are known, but can vary. There have been a lot of approaches for characterizing diagnosis [4, 141 and its fault trees [5,13]~ However, our modelbased diagnosis supersedes others in that it intrinsically represents timing effects, especially in relation to task execution. Dynamic models are necessary in task execution application where effects of an anomaly occurring in some task are not apparent until they have propagated some time later, in some transformed manner, to a detectable error in another task.…”

Section: Brief Description On Symbolic Discrete Event System Specificmentioning

confidence: 98%

Hierarchical model-based diagnosis for high autonomy systems

Chi

Zeigler

1994

J Intell Robot Syst

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Abstract. Deep reasoning diagnostic procedures are model-based, inferring single or multiple faults from the knowledge of faulty behavior of component models and their causal structure. The overall goal of this paper is to develop a hierarchical diagnostic system that exploit knowledge of structure and behavior. To do this, we use a hierarchical architecture including local and global diagnosers. Such a diagnostic system for high autonomy systems has been implemented and tested on several examples in file domain of robot-managed fluid-handling laboratory.

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“…As commented above, the Minimal Cut Sets methods are widely used due to its performance advantages and not needing the data of all the basic events. However, an exact solution can only be achieved using the direct analysis evaluation, which involves creating a top-down recursive algorithm that directly analyzes the exact probability of the desired event, as shown by Patterson-Hine and Koen [28], not considering minimal cut sets or maximum order of cut sets.…”

Section: Direct Analysis Evaluationmentioning

confidence: 99%

“…Two of the quantitative analyses of a fault tree are specially used in the aviation sector, the main aim of the present communication: Minimal Cut Sets (MCS) [27] and Direct numerical Evaluation (DE) without computing the cut sets. Although the MCS approach produces an approximate result [28], it is widely used due to its good performance, the ability to truncate the number of cut sets as required, and because it is not necessary to input all the basic events. However, the Direct Evaluation of fault trees solves the tree exactly.…”

Section: Introductionmentioning

confidence: 99%

Development and Implementation of a Direct Evaluation Solution for Fault Tree Analyses Competing With Traditional Minimal Cut Sets Methods

Cortes¹,

Martino²,

Duran³

et al. 2023

IEEE Trans. Rel.

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Fault Tree Analysis (FTA) is a wellestablished technique to analyze the safety risks of a system. Two specific prominent FTA methods, largely applied in the aerospace field, are the socalled Minimal Cut Sets (MCS), which uses an approximate evaluation of the problem, and the Direct Evaluation (DE) of the fault tree, which uses a top-down recursive algorithm. The first approach is only valid for small values of basic event probabilities and has historically yielded faster results than exact solutions for complex fault trees. The second one means exact solutions at a higher computational cost. The paper presents several improvements applied to both approaches in order to upgrade the computing performance. Firstly, improvements to the MCS approach have been performed, where the main idea has been to optimize the number of required permutations and to take advantage of the available information from previous solved subsets. Secondly, improvements to the DE approach have been applied, which deal with a reduction of the number of recursive calls through a deep search for independent events in the fault tree. This could dramatically reduce the computation time for industrial fault trees with a high number of repeated events.

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Direct evaluation of fault trees using object-oriented programming techniques

Cited by 25 publications

References 5 publications

Evaluation of reliability and safety for an underwater dry maintenance cabin

Evaluation of reliability and safety for an underwater dry maintenance cabin

Hierarchical model-based diagnosis for high autonomy systems

Development and Implementation of a Direct Evaluation Solution for Fault Tree Analyses Competing With Traditional Minimal Cut Sets Methods

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