A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method

Liu, Hu‐Chen; You, Jing; You, Xiao‐Yue; Shan, Ming

doi:10.1016/j.asoc.2014.11.036

Cited by 318 publications

(134 citation statements)

References 49 publications

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“…Many researchers [18,24] point out it is unreasonable to give the same weight to risk factors, for instance, the failure mode S 1 =2, O 1 =8 and S 2 =8, O 2 =2 has the same RPN in this manner though it was not the case in reality.…”

Section: Rpn-based Allocation Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A comprehensive and practical reliability allocation method considering failure effects and reliability costs

Yu¹,

Zhang²,

Ran³

et al. 2018

Eksploatacja i Niezawodność – Maintenance and Reliability

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Section: Rpn-based Allocation Methodsmentioning

confidence: 99%

“…The current defuzzification methods mainly include the mean of maxima (MOM), center of area (COA) and α-cut etc. [18]. Different methods lead to various results.…”

Section: Step 1 Influential Factors Determinationmentioning

confidence: 99%

A comprehensive and practical reliability allocation method considering failure effects and reliability costs

Yu¹,

Zhang²,

Ran³

et al. 2018

Eksploatacja i Niezawodność – Maintenance and Reliability

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“…Shannon Entropy is a measure of uncertainty of information formulated in terms of probability theory [15]. It is well suited for measuring the relative contrast intensities of criteria to represent the average intrinsic information transmitted to the decision makers.…”

Section: Determining the Weights Of Attributesmentioning

confidence: 99%

Fault diagnosis for complex systems based on dynamic evidential network and multi-attribute decision making with interval numbers

Duan¹,

Longfei²,

Lin³

2017

EiN

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Fault diagnosis For complex systems based on dynamic evidential network and multi-attribute decision making with interval numbers diagnostyka uszkodzeń systemu złożonego oparta na dynamicznych sieciach dowodowych oraz wieloatrybutowej metodzie podejmowania decyzji z wykorzystaniem liczb interwałowych The complexity of modern system structures and failure mechanisms makes it very difficult to locate the system fault. It has characteristics of dynamics of failure, diversity of distribution and epistemic uncertainties, which increase the challenges in the fault diagnosis significantly. This paper presents a fault diagnosis framework for complex systems within which the failure rates of components are expressed in interval numbers. Specifically, it uses a dynamic fault tree (DFT) to model the dynamic fault behaviors and deals with the epistemic uncertainties using Dempster-Shafer (D-S) theory and interval numbers. Furthermore, a solution is proposed to map a DFT into a dynamic evidential network (DEN) to calculate the reliability parameters. Additionally, diagnostic importance factor (DIF), Birnbaum importance measure (BIM) and heuristic information values (HIV) are taken into account comprehensively in order to obtain the best fault search scheme using an improved VIKOR algorithm. Finally, an illustrative example is given to demonstrate the efficiency of this method. Keywords: diagnosis strategy, D-S theory, interval numbers, dynamic evidential network, VIKOR.Złożoność However, these methods assume that all components obey to the same distribution and cannot handle the challenge (2). Furthermore, these methods, which are usually assumed that the failure rates of the components are considered as crisp values describing their reliability characteristics, have been found to be inadequate to deal with the challenge (3) mentioned above. Therefore, fuzzy sets theory has been introduced as a useful tool to handle the challenge (3). The fuzzy fault tree analysis model employs fuzzy sets and possibility theory, and deals with ambiguous, qualitatively incomplete and inaccurate information [8,16,18]. To deal with the challenge (1) and (3), fuzzy DFT analysis has been introduced [13][14] which employs a DFT to construct the fault model and calculates the reliability results based on the continuous-time BN under fuzzy numbers. However, these approaches cannot handle the challenge (2). For this purpose, Mi et al. proposed a new reliability assessment approach which used a DFT to model the dynamic characteristics within complex systems and estimated the parameters of different life distributions using the coefficient of variation (COV) method [19]. To a certain extent, this method can meet the above challenges. But it is confined to the reliability analysis and cannot be used for the fault diagnosis. Dugan introduced a diagnostic importance factor (DIF) to determine the diagnosis sequence using DFT analysis [1]. However, the solution for DFT is based on Markov Chain which has an apparent state space explosion problem. In the work...

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“…For example, Mousavi and Jolai [32] used a stochastic VIKOR to evaluate and rank probability distributions for each alternative. Liu and You [33] used a fuzzy VIKOR for failure mode and effects analysis; triangular fuzzy numbers are preferred to express linguistic evaluations. Mokhtarian and Sadi-Nezhad [34] used fuzzy VIKOR on interval-valued fuzzy numbers for facility site selection problems.…”

Section: Literature Reviewmentioning

confidence: 99%

An Extended VIKOR-Based Approach for Pumped Hydro Energy Storage Plant Site Selection with Heterogeneous Information

Liu

Gao

et al. 2017

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Abstract:The selection of a desirable site for constructing a pumped hydro energy storage plant (PHESP) plays a vital important role in the whole life cycle. However, little research has been done on the site selection of PHESP, which affects the rapid development of PHESP. Therefore, this paper aims to select the most ideal PHESP site from numerous candidate alternatives using the multi-criteria decision-making (MCDM) technique. Firstly, a comprehensive evaluation criteria system is established for the first time. Then, considering quantitative and qualitative criteria coexist in this system, multiple types of representations, including crisp numerical values (CNVs), triangular intuitionistic fuzzy numbers (TIFNs), and 2-dimension uncertain linguistic variables (2DULVs), are employed to deal with heterogeneous criteria information. To determine the weight of criteria and fully take the preference of the decision makers (DMs) into account, the analytic hierarchy process (AHP) method is applied for criteria weighting. After that, an extended Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is utilized to provide compromise solutions for the PHESP site considering such heterogeneous information. At last, the proposed model is then applied in a case study of Zhejiang province, China to illustrate its practicality and efficiency. The result shows the Changlongshan should be selected as the optimal PHESP.

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A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method

Cited by 318 publications

References 49 publications

A comprehensive and practical reliability allocation method considering failure effects and reliability costs

A comprehensive and practical reliability allocation method considering failure effects and reliability costs

Fault diagnosis for complex systems based on dynamic evidential network and multi-attribute decision making with interval numbers

An Extended VIKOR-Based Approach for Pumped Hydro Energy Storage Plant Site Selection with Heterogeneous Information

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