摘要
针对机电产品主动再制造的时机选择精度不高的问题,提出一种时机决策优化方法,以弥补传统参数估计模型的精度不足。用可靠度来表征服役阶段的性能衰退特征,采用改进的平均秩次法对传统参数模型进行优化,利用优化后的模型参数进行可靠度分析,确定机电产品主动再制造时机。通过具体案例分析,并与传统模型对比,验证了新的优化模型在确定机电产品主动再制造时机的可行性。
Aiming at the problem that the timing of active remanufacturing of electromechanical products is not high,a timing decision optimization method is proposed to compensate for the lack of precision of the traditional parameter estimation model.Reliability is used to characterize the performance degradation characteristics of the service phase.The improved average rank method is used to optimize the traditional parameter model,and the optimized model parameters are used for reliability analysis to determine the active remanufacturing opportunities of electromechanical products.Through specific case analysis and comparison with traditional models,the feasibility of thenew optimization model in determining the timing of active remanufacturing of electromechanical products is verified.
作者
牛会通
王贤琳
刘凯乐
NIU Hui-tong;WANG Xian-lin;LIU Kai-le(Key Laboratory of Metallurgical Equipment and Control Technology,Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China;Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering,Wuhan University of Science and Technology,Wuhan 430081,China)
出处
《组合机床与自动化加工技术》
北大核心
2020年第8期67-70,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金资助项目(51675388)
湖北省教育厅科学研究计划资助项目(D20181102)。
关键词
主动再制造
改进的平均秩次法
可靠性
时机决策
active remanufacturing
improved average rank method
reliability
timing decision
