摘要
产品功能优化过程中包含大量不确定性功能需求及未知功能需求,构建基于认知不确定可靠性产品功能优化算法,进行产品总体功能分析、子功能概率化及可信度分配,从而在指定的概率选取满足一组约束的最优功能组合。以举高消防车为例,研究结果表明:优化算法有助于精准化衡量产品功能不确定性并控制在客户需求的预期区间范围内,从而保证产品质量和可靠性。
The process of product function optimization comprises a large number of uncertain function requirements and unknown function requirements.A product function optimization algorithm based on cognitive uncertain reliability is constructed to analyze the overall function of the product,probabilistic sub functions and reliability distribution,so as to select the optimal function combination that meets a set of constraints at the specified probability.The research results show that the optimization algorithm,with the high fire truck as an example,helps to accurately measure the uncertainty of product functions and control it within the expected range of customer needs,hereby ensuring product quality and reliability.
作者
钟维宇
戴俨炯
蔡敢为
柳林燕
ZHONG Weiyu;DAI Yanjiong;CAI Ganwei;LIU Linyan(Aviation Electronic Equipment Maintenance College,Air Force Aviation Maintenance Technology College,Changsha 410129,China;School of Mechanical Engineering,Guangxi University,Nanning 530004,China;School of Mechanical Engineering,Nanjing University of Technology,Nanjing 210094,China)
出处
《机械制造与自动化》
2023年第6期6-9,27,共5页
Machine Building & Automation
基金
国家自然科学基金资助项目(51705256)
2021年湖南省教育厅教育科学研究项目(21C1241)。
关键词
认知不确定
功能分析法
可靠性优化
优化算法
cognitive uncertainty
functional analysis
reliability optimization
optimization algorithm
