基于混合多屬性決策和關(guān)聯(lián)分析的模糊粗糙FMEA評估方法
發(fā)布時間:2018-04-01 17:07
本文選題:失效模式與影響分析 切入點:模糊粗糙數(shù) 出處:《計算機集成制造系統(tǒng)》2016年11期
【摘要】:為解決面向不確定環(huán)境下的產(chǎn)品失效模式與影響分析(FMEA)問題,提出基于混合多屬性決策和關(guān)聯(lián)傳播分析相集成的FMEA新方法。該方法為有效處理FMEA過程中各階段專家的模糊性、不確定性評價信息,運用區(qū)間形式的模糊粗糙數(shù)進行建模。在此建?蚣芟,首先以模糊粗糙層次分析法構(gòu)建風(fēng)險因子權(quán)重分析矩陣,并通過自動機算法進行尋優(yōu)求解得到權(quán)重向量;其次引入Kullback-Leibler散度對多準(zhǔn)則妥協(xié)解排序法模型進行改進并用于風(fēng)險優(yōu)先數(shù)的計算;最后考慮到失效模式間的交互影響,構(gòu)建失效模式關(guān)聯(lián)傳播復(fù)雜網(wǎng)絡(luò),通過計算關(guān)聯(lián)輸出度、介數(shù)、集簇系數(shù)等網(wǎng)絡(luò)拓?fù)鋮?shù)對風(fēng)險優(yōu)先數(shù)進行修正,進而對失效模式的風(fēng)險性進行全面重新排序。以冶金設(shè)備專用大型齒輪箱為例,驗證了該方法的可行性與有效性。
[Abstract]:In order to solve the uncertainty analysis under the environment of product failure mode and effect (FMEA), this paper presents a new method of FMEA integrated analysis of hybrid multiple attribute decision making and related communication. Based on the fuzzy expert in each stage of the method for the effective treatment of FMEA, the uncertainty of evaluation information, using fuzzy rough form of interval number modeling. This modeling framework, firstly based on fuzzy rough AHP to construct the weight of risk factors analysis matrix, and the automaton algorithm to solve optimization to get the weight vector; secondly Kullback-Leibler divergence of VIKOR model was improved and used to calculate the risk priority number; finally, considering the interaction between the modes of failure the construction, failure mode correlation propagation in complex network, by calculating the correlation output degree, betweenness, clustering coefficient and network topology parameters on the risk priority number In order to make a comprehensive reordering of the risk of failure mode, a modified large gear box for metallurgical equipment is taken as an example to verify the feasibility and effectiveness of the method.
【作者單位】: 大連海洋大學(xué)機械與動力工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項目(51605067) 遼寧省自然科學(xué)基金資助項目(2015020134) 遼寧省教育廳科學(xué)研究一般資助項目(L2014274,L2014275)~~
【分類號】:TF307;TB114.2
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本文編號:1696489
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