Uncertainty evaluation using monte carlo method with MATLAB

摘要：

A method for evaluating the uncertainty using Monte Carlo method with MATLAB is presented. Monte Carlo method is a general numerical approach for carrying out the calculations required as part of an evaluation of measurement uncertainty. This method would reduce the analysis effort required for complicated or nonlinear models, especially since the partial derivatives of first or higher order used in providing sensitivity coefficients for the law of propagation of uncertainty are not needed. The implementation of this method uses MATLAB as programming language. Detailed information about assignment and sampling style of input quantities is given, with two uncertainty evaluation examples of power measurement and dial indicator calibration.

关键词： uncertainty Monte Carlo method probability density function power measurement dial indicator

作者: Han Jie Chen Huaiyan Cao Yun

作者单位: Beijing Aerospace Control Center,Beijing 5110 mailbox 111,Beijing 100094 ,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 631-635

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）