基于故障反馈的产品关键设计质量特性逆向推理技术

doi:10.3969/j.issn.1004-132X.2022.02.007

摘要/Abstract

摘要： 为降低产品关键设计质量特性识别的主观性，保证其排序的科学性，提出一种从故障反馈的角度出发，通过逆向推理对产品关键设计质量特性进行识别与排序的方法。为降低故障分析中信息的模糊性和冗余性，基于可拓操作提取产品元故障，将元故障、故障原因、关键设计质量特性作为逆向推理过程中的基本关联要素，通过分析“元故障故障原因关键设计质量特性”不同级之间的纵向关联关系和各同级之间的横向关联关系，建立关键设计质量特性扩展关联模型；基于该模型建立了关键设计质量特性的影响广度和影响深度的量化表达模型与算法，通过有向图和失效模式及影响分析实现关键设计质量特性的量化排序。起重机起升机构实例验证了所提方法的有效性。

关键词: 故障反馈, 逆向推理, 关键设计质量特性, 特性识别, 特性排序, 关联模型

Abstract: In order to reduce the subjectivity of identifying the key design quality characteristics of products and ensure the scientific sequencing, a method of identifying and sequencing key design quality characteristics of products by reverse reasoning from the perspective of fault feedback was proposed. Firstly, in order to reduce the fuzziness and redundancy of information in fault analysis, product element faults were extracted based on extension operation. Taking the meta-fault, the fault cause and the key design quality characteristics as the basic correlation elements in the reverse reasoning processes, the extended correlation model of key design quality characteristics was established by analyzing the vertical correlation between different levels of “meta fault-failure cause-key design quality characteristics” and the horizontal correlation between same level. Based on this model, a quantitative expression model and algorithm for the influence breadth and influence depth of key design quality characteristics were established, and a quantitative ranking of key design quality characteristics was realized through directed graph and failure mode and impact analysis. Finally, the effectiveness of the proposed method was verified by a case of crane hoisting mechanism.

Key words: fault feedback, reverse reasoning, key design quality characteristics, characteristics identifying, characteristics sequencing, correlation model

中图分类号:

TP391

李金萍, 杨波, 马宁, 刘彦超, 王殿熙, 成保忠. 基于故障反馈的产品关键设计质量特性逆向推理技术[J]. 中国机械工程, 2022, 33(02): 176-186.

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