Reliability analysis of multi-state emergency detection system using simulation approach based on fuzzy failure rate

Nadjafi, Mohammad; Farsi, Mohammad Ali; Jabbari, Hossein

doi:10.1007/s13198-016-0563-7

Cited by 13 publications

(8 citation statements)

References 36 publications

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“…In this regard, FTA has received extensive attention from scholars in academia and industries to deal with its shortcomings. Many attempts have been conducted in the state of the arts to improve the efficiency and effectiveness of FTA 35–38 …”

Section: Introductionmentioning

confidence: 99%

Fault tree analysis improvements: A bibliometric analysis and literature review

Yazdi

Mohammadpour

et al. 2023

Quality & Reliability Eng

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Fault tree analysis (FTA) is one of the most popular failure analysis techniques that reveal the potential pathways leading to systems or components failure. It has been widely employed in numerous sectors to understand how a system fails and is improved. However, the conventional FTA has been criticized due to a series of inherent shortcomings in the FTA state of the arts. Accordingly, scholars, engineers, and practitioners made their attempts to improve the FTA by dealing with its critical deficiencies over the last decade. However, a few works have been performed to review and synthesize the relevant studies on FTA improvement topics. Thus, the present study is aimed to carry out a systematic literature review of the state-of-the-art theoretical and empirical findings concerning FTA improvement from 2011 to 2021 using the Scopus database collection. In this sense, an in-depth investigation is conducted using statistical metadata analysis. This subject discusses frontier directions and development trends to reveal the research status. In addition, a bibliometric study is undertaken to ascertain the most productive and influential researchers, research centers, and hotspot fields. It also sheds light on the FTA shortcomings in the existing literature, the evolution in FTA improvement topics, and research opportunities. The outcomes of the present work highlighted thatThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Introductionmentioning

confidence: 99%

Fault tree analysis improvements: A bibliometric analysis and literature review

Yazdi

Mohammadpour

et al. 2023

Quality & Reliability Eng

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“…However, this method does not consider the epistemic uncertainty. A dynamic fault tree is used to build a fault model proposed by Nadjafi et al (2017), where fuzzy failure rate is used to describe the failure rate of basic events (BEs) to eliminate epistemic uncertainty and fuzzy Monte Carlo simulation method is used to calculate some reliability results. He et al (2019) propose a new multi-state system reliability analysis method based on BN.…”

Section: Introductionmentioning

confidence: 99%

Optimal fault diagnosis strategy for complex systems considering common cause failure under epistemic uncertainty

Duan

Huang

2021

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Purpose This paper aims to deal with the problems such as epistemic uncertainty, common cause failure (CCF) and dynamic fault behaviours that arise in complex systems and develop an effective fault diagnosis method to rapidly locate the fault when these systems fail. Design/methodology/approach First, a dynamic fault tree model is established to capture the dynamic failure behaviours and linguistic term sets are used to obtain the failure rate of components in complex systems to deal with the epistemic uncertainty. Second, a β factor model is used to construct a dynamic evidence network model to handle CCF and some parameters obtained by reliability analysis are used to build the fault diagnosis decision table. Finally, an improved Vlsekriterijumska Optimizacija I Kompromisno Resenje algorithm is developed to obtain the optimal diagnosis sequence, which can locate the fault quickly, reduce the maintenance cost and improve the diagnosis efficiency. Findings In this paper, a new optimal fault diagnosis strategy of complex systems considering CCF under epistemic uncertainty is presented based on reliability analysis. Dynamic evidence network is easy to carry out the quantitative analysis of dynamic fault tree. The proposed diagnosis algorithm can determine the optimal fault diagnosis sequence of complex systems and prove that CCF should not be ignored in fault diagnosis. Originality/value The proposed method combines the reliability theory with multiple attribute decision-making methods to improve the diagnosis efficiency.

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“…fuzzy fault tree analysis (FFTA))to deal The fuzzy set theory was introduced in 1965 by Lotfizadeh [11] to deal with uncertainty due to imprecision and vagueness. More and more investigators successfully used the FFTA technique in various areas [12][13][14][15][16][17]. Lin et al [12] combined fuzzy set theories with expert elicitation to solve the safety problem of unexpected robot motion in an aircraft wing drilling system.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy fault tree reliability analysis based on improved T-S model with application to NC turret

Yang

Wang

et al. 2021

Int J Adv Manuf Technol

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In Takagi and Sugeno (T-S) fuzzy fault tree analysis (FFTA), the construction of T-S fuzzy gates relies too much on expert experience, which will result in inevitable subjective errors. In order to overcome this disadvantage, a new method was proposed which combined importance index with T-S fuzzy fault tree model to evaluate reliability of the events. The importance index of components can be solved through Monte Carlo (MC) simulation. The proposed method is suitable for systems where exact information on the fault probabilities of the components and the magnitude of failure and effect on system are not available. The concept and calculation method of T-S probability importance was presented. Finally, the feasibility of the method is verified by analyzing the reliability of the sealing subsystem of the NC turret and the weak links of the system are obtained by the importance analysis, which will provide data for system fault diagnosis and preventive maintenance.

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Reliability analysis of multi-state emergency detection system using simulation approach based on fuzzy failure rate

Cited by 13 publications

References 36 publications

Fault tree analysis improvements: A bibliometric analysis and literature review

Fault tree analysis improvements: A bibliometric analysis and literature review

Optimal fault diagnosis strategy for complex systems considering common cause failure under epistemic uncertainty

Fuzzy fault tree reliability analysis based on improved T-S model with application to NC turret

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