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Accuracy Analysis of Assembly Success Rate with Monte Carlo Simulations
作者姓名:仲昕  杨汝清  周兵
作者单位:Research Iast. of Robotics,Shanghai Jiaotong Univ.,Shanghai 200030,China,Research Iast. of Robotics,Shanghai Jiaotong Univ.,Shanghai 200030,China,Research Iast. of Robotics,Shanghai Jiaotong Univ.,Shanghai 200030,China
摘    要:Monte Carlo simulation was applied to Assembly Success Bate (ASK) analyses. ASR of two peg-in-hole robot assemblies was used as an example by taking component parts' sizes, manufacturing tolerances and robot repeatability into account. A statistic arithmetic expression was proposed and deduced in this paper, which offers an alternative method of estimating the accuracy of ASR, without having to repeat the simulations. This statistic method also helps to choose a suitable sample size, if error reduction is desired. Monte Carlo simulation results demonstrated the feasibility of the method.


Accuracy Analysis of Assembly Success Rate with Monte Carlo Simulations
ZHONG Xin,YANG Ru-qing,ZHOU Bing Research Inst. of Robotics,Shanghai Jiaotong Univ.,Shanghai ,China.Accuracy Analysis of Assembly Success Rate with Monte Carlo Simulations[J].Journal of Donghua University,2003,20(4).
Authors:ZHONG Xin  YANG Ru-qing  ZHOU Bing Research Inst of Robotics  Shanghai Jiaotong Univ  Shanghai  China
Institution:Research Inst.of Robotics,Shanghai Jiaotong Univ.,Shanghai 200030,China
Abstract:Monte Carlo simulation was applied to Assembly Success Bate (ASK) analyses. ASR of two peg-in-hole robot assemblies was used as an example by taking component parts' sizes, manufacturing tolerances and robot repeatability into account. A statistic arithmetic expression was proposed and deduced in this paper, which offers an alternative method of estimating the accuracy of ASR, without having to repeat the simulations. This statistic method also helps to choose a suitable sample size, if error reduction is desired. Monte Carlo simulation results demonstrated the feasibility of the method.
Keywords:Assembly Success Rate (ASR)  two peg-in-hole robot assemblies  Monte Carlo simulation
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