首页 | 本学科首页   官方微博 | 高级检索  
     

面向在机测量的动态测量不确定度评定与实验研究
引用本文:王腾辉,袭萌萌,刘海波,王永青. 面向在机测量的动态测量不确定度评定与实验研究[J]. 组合机床与自动化加工技术, 2021, 0(1): 13-18
作者姓名:王腾辉  袭萌萌  刘海波  王永青
作者单位:大连理工大学精密与特种加工教育部重点实验室
基金项目:挑战计划专题(TZ2018006-0101-03);中央高校基本科研业务费项目(DUT2019TA01)。
摘    要:针对在机测量系统不确定度量化评定难题,研究了面向在机测量的动态测量不确定度评定方法及策略,设计了评定框架;引入量值特性分析并融合黑箱理论进行了不确定度分量分析,规划了网格点阵式和正交连续式等两种样本集;按照极大似然估计原则对采样数据拟合,得到不确定度分量的分布规律及概率密度函数;建立了面向在机测量的动态测量不确定度评定...

关 键 词:在机测量  动态测量不确定度  评定  自适应蒙特卡洛法

Research on Evaluation and Experiment of Dynamic Measurement Uncertainty for On-machine Measurement
WANG Teng-hui,XI Meng-meng,LIU Hai-bo,WANG Yong-qing. Research on Evaluation and Experiment of Dynamic Measurement Uncertainty for On-machine Measurement[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2021, 0(1): 13-18
Authors:WANG Teng-hui  XI Meng-meng  LIU Hai-bo  WANG Yong-qing
Affiliation:(Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education,Dalian University of Technology,Dalian Liaoning 116024,China)
Abstract:Aiming at the problem of the uncertainty evaluation oriented to on-machine measurement system,the method and strategy of uncertainty evaluation oriented to on-machine measurement are studied,and the evaluation framework is designed.The quantitative characteristic analysis method is introduced and the black box theory is integrated to analyze the uncertainty.Two kinds of sample set programming methods,cubic lattice sample set and orthogonal continuous sample set,are proposed.According to the maximum likelihood estimation approach,the distributions and PDFs of uncertainty components are obtained by distribution fitting.The mathematical model of uncertainty evaluation oriented to on-machine measurement is established.and then the uncertainty transfer and synthesis are carried out based on the adaptive MCM.Using the on-machine measurement system,the uncertainty evaluation experiment of dynamic measurement is carried out to verify the feasibility of the method.
Keywords:on-machine measurement  dynamic measurement uncertainty  evaluation  adaptive monte carlo method
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号