Dynamic fault tree analysis using fuzzy L-U bounds failure distributions

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

doi:10.3233/jifs-161781

Cited by 8 publications

(7 citation statements)

References 33 publications

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“…Although different researchers tried to system modeling via reliability engineering techniques, this type of system modeling and analyzing is an interesting topic for reliability engineers. Several advanced methods and techniques have been developed, such as dynamic fault tree [22], dynamic Bayesian [23], dynamic reliability block diagram [24], Markov chain [25] and Monte Carlo simulation [26]; but this topic needs more attention. The system that used in Industry 4.0 context consists of the new aspects and deal with the new challenges such as Cyber-Physical Systems (CPSs), reliance structure, supporting systems, multi-state components, distributed structure and so on.…”

Section: Challenges and Opportunity For Reliability Engineeringmentioning

confidence: 99%

Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

Farsi

Zio

2019

Int J Reliabl Risk Safe Theory App

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According to the development of Industry 4.0 and increase the integration of digital, physical and human worlds, reliability engineering must evolve for addressing the existing and future challenges about that. In this paper, the principle of Industry 4.0 is presented and some of these challenges and opportunities for reliability engineering are discussed. New directions for research in system modeling, big data analysis, health management, cyber-physical system, human-machine interaction, uncertainty, jointly optimization, communication, and interfaces are proposed. Each topic can be investigated individually, but this paper summarizes them and prepared a vision about reliability engineering for consideration and discussion by the interested scientific community.

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Section: Challenges and Opportunity For Reliability Engineeringmentioning

confidence: 99%

Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

Farsi

Zio

2019

Int J Reliabl Risk Safe Theory App

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“…A Fuzzy Monte Carlo simulation is proposed to complete this process in preferred operational time. 25 In classical fuzzy set theory, incorporating uncertainty and hesitation in the membership degree does not make any sense. As a possible solution of this problem, Atanassov 26 proposed the idea of intuitionistic fuzzy set (IFS).…”

Section: Introductionmentioning

confidence: 99%

“…The dynamic FTA has been executed for system reliability assessment and a Fuzzy Time‐to‐Failure (FTTF) model is developed, which is based on Fuzzy Lower and Upper (L–U) bounds. A Fuzzy Monte Carlo simulation is proposed to complete this process in preferred operational time 25 …”

Section: Introductionmentioning

confidence: 99%

An application of fault tree analysis for computing the bounds on system failure probability through qualitative data in intuitionistic fuzzy environment

Kaushik

Kumar

2022

Quality & Reliability Eng

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For the safety assessment of complex engineering systems, fault tree analysis (FTA) is a widely used method and can be performed only when all its basic events (BEs) have their corresponding failure data. However, in many applications, obtaining precise quantitative failure data of all the components of the system is not feasible due to changing environment, insufficient data or new components. The present research develops a novel FTA to identify the best estimate and bounds of system failure probability through qualitative data processing. The failure data of BEs are uncertain therefore expert elicitation method is used incorporating intuitionistic fuzzy (IF) set theory to evaluate the top event failure probabilities. The novelty of the proposed work comes with the use of linguistic values as failure possibilities of the system components and utilizing triangular intuitionistic fuzzy numbers (TIFNs) to quantify the linguistic terms into mathematical form to assess the best‐estimated value of the system failure probability, and also the lower bound and the upper bound of the system failure probability. To exemplify the appropriateness of the proposed study, the case studies Combustion Engineering Reactor Protection System (CERPS) and Emergency Core Cooling System (ECCS) are carried out and a comparison between computed results and outcomes from the previous methods is demonstrated. The results are exceptionally near to the outcomes of conventional FTA, which confirms that the proposed procedure is a real substitute in the IF environment when components have imprecise quantitative failure data.

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“…Nadjafi et al . [ 40 ] proposed a dynamic FTA based on a fuzzy lower and upper (L-U) bounded failure distribution. To deal with the uncertainty during the assessment of water in-rush risk in underground engineering works, Yang et al .…”

Section: Introductionmentioning

confidence: 99%

“…For example, Zhang et al [39] proposed a fuzzy probability risk decision approach for metro construction based on fuzzy set theory and FTA. Nadjafi et al [40] proposed a dynamic FTA based on a fuzzy lower and upper (L-U) bounded failure distribution. To deal with the uncertainty during the assessment of water in-rush risk in underground engineering works, Yang et al [41] constructed a model based on GIS and the fuzzy set theory.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy risk assessment of a deeply buried tunnel under incomplete information

et al. 2018

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Risk assessment has always been an important part of safety risk research in tunnel and underground engineering. Owing to the characteristics of tunnel construction, to achieve an expected risk control effect, it is necessary to carry out accurate risk assessment research according to the risk assessment concept based on the entire tunnel construction process. At present, because of the frequent occurrences of safety accidents, a variety of risk assessment models have been proposed for different tunnel projects such as subways and railway tunnels, which can be roughly classified into two types: probability-based and fuzzy set theories. However, the existing models may be more suitable for the construction stage, and the design stage lacks a reliable and practical fuzzy risk assessment method. Therefore, based on fuzzy set theory and similarity measure theory, a risk assessment model is proposed to adapt to the characteristics that the risk information is difficult to quantify the fuzziness in the design phase. Firstly, new ideas of fuzzy risk analysis are proposed to overcome deficiencies in existing methods; secondly, a new similarity measure is constructed; then fusing multi-source fuzzy information based on evidence theory, the relationship between similarity measure and mass function is established. Finally, the new method is applied to the Yuelongmen tunnel. Results show that the concept of risk control and the risk assessment model are feasible.

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Dynamic fault tree analysis using fuzzy L-U bounds failure distributions

Cited by 8 publications

References 33 publications

Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

An application of fault tree analysis for computing the bounds on system failure probability through qualitative data in intuitionistic fuzzy environment

Fuzzy risk assessment of a deeply buried tunnel under incomplete information

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