Improved FMEA method based on linguistic weighted geometric operator and fuzzy priority sequence

A language and operator technology, applied in the field of improved FMEA based on language weighted geometric operators and fuzzy prioritization, can solve the problems of no unified selection criteria, different RPN, loss of useful information, etc.

Inactive Publication Date: 2016-06-15
WENZHOU UNIVERSITY
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Problems solved by technology

[0003] Although the FMEA method has been considered to be the most effective preventive measure in advance, it has the following shortcomings in the actual use process: 1) The traditional FMEA method requires experts to use numerical scoring to evaluate risk factors, but due to the ambiguity and uncertainty of human thinking 2) The traditional FMEA method gives all experts the same scoring weight, but in practice, although experts have a deep understanding of the research object, their scoring is often based on their own experience and Differences in knowledge, experience, and knowledge will lead to great differences in RPN; 3) The traditio

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  • Improved FMEA method based on linguistic weighted geometric operator and fuzzy priority sequence
  • Improved FMEA method based on linguistic weighted geometric operator and fuzzy priority sequence
  • Improved FMEA method based on linguistic weighted geometric operator and fuzzy priority sequence

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specific Embodiment approach 1

[0062] Specific implementation mode 1: the improved FMEA method based on language weighted geometric operator and fuzzy prioritization is realized in the following steps:

[0063] When performing language-weighted geometric operators, members of the evaluation team need to qualitatively measure the RPN of the failure mode, and an appropriate language evaluation scale is required. Let S={Sα|α=1 / t,...,1 / 2,1,2,...,t} be the language scale set of a certain language variable, the number of language scales is 2t-1, and satisfy the following condition:

[0064] (1) Order: if S α ,S β ∈S and α>β, then S α >S β ;

[0065] (2) Reversibility: there is an inverse operation Rec(S α )=S β , making αβ=1.

[0066] For example, a language scale set S containing 7 scales can be defined as: S={S 1 / 4 ,S 1 / 3 ,S 1 / 2 ,S 1 ,S 2 ,S 3 ,S 4}={very poor, bad, poor, average, better, good, very good}.

[0067] After defining the language scale, it is necessary to aggregate the language meas...

specific Embodiment approach 2

[0107] Specific implementation mode 2: According to figure 1 , in order to improve the reliability of machine tools, a machine tool factory conducts FMEA analysis on the machine tools of the factory's main models. In order to improve the accuracy of FMEA analysis, the improved FMEA method based on group language information aggregation proposed by this patent is used to evaluate the quality risk of machine tools. Due to the many failure modes and causes involved in the actual machine tool FMEA project, due to space limitations, only five failure modes of a certain type of CNC machine tool head box are used as examples to illustrate the main operation steps of the method proposed in this patent.

specific Embodiment approach 3

[0108] Specific implementation mode 3: According to figure 2 , the experts use the Analytic Hierarchy Process (AHP) to determine the normalized weights of the three risk factors O, S and D as w=(wO, wS, wD)=(0.332, 0.405, 0.262), considering the human language thinking characteristics, set the number of language scales used in evaluating FMEA risk factors O, S and D to 7, that is, t=4.

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Abstract

The invention discloses an improved FMEA method based on language weighted geometric operators and fuzzy prioritization, aiming at the problems of uncertain expert evaluation information and equivalent expert weight in traditional failure mode and effect analysis (FMEA) risk assessment methods, a method based on group language information is proposed Gathered improved FMEA method. First, regard the three major risk factors assessed by FMEA as linguistic variables, and introduce the language weighted geometry (LWG) operator to directly perform algebraic operations on the expert assessment results, overcoming the drawbacks of fuzzy theory that requires secondary conversion and loss of decision-making information; on this basis Above all, using the fuzzy priority algorithm, an expert weight calculation formula based on the consistency degree of expert ranking is proposed, and the experts who deviate from the group priority are given lower weights to reduce the impact of unfairness on the evaluation results. Taking the failure mode risk assessment of a CNC machine tool bedside box as an example, the effectiveness and practicability of the method are verified.

Description

technical field [0001] The invention relates to the improvement field of language weighted geometric operator and fuzzy priority, in particular to an improved FMEA method based on language weighted geometric operator and fuzzy priority. Background technique [0002] FMEA (Failure Mode and Effects Analysis) is a systematic and preventive reliability analysis technique. It is a systematic procedure for analyzing products or services to identify potential failure modes, failure causes and their impact on system performance. The FMEA method determines the reliability risk of different failure modes by defining and calculating the risk priority number (RPN), based on the severity (Occurrence, O), frequency of occurrence (Severity, S) and fault detection of potential failure modes Difficulty (Detection, D) is evaluated by three risk factors to obtain the risk priority number (RiskPriorityNumber, RPN) of the failure mode, and then determine the risk order of different failure modes...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
Inventor 周余庆向家伟高海峰钟永腾李峰平周宏明
Owner WENZHOU UNIVERSITY
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