Uncertainty Analysis for Pump Test Based on Maximum Entropy and Monte Carlo Method

摘要：

Entropy analysis is a key factor for ensuring the accuracy of measured data in pump test. But a unified and widely accepted evaluation method has not been formed. In this paper, an improved method based on the combination of maximum entropy and Monte Carlo method is proposed. Based on maximum entropy concept, statistical model of random distribution variables was presented, and a parameter estimation method of the distribution function was proposed also. In order to improve the convergence of the numerical estimation method, swarm algorithm is applied to generate initial value. Then, a set of random numbers are generated which are used to estimate the uncertainty of components in pump test. Case study verified the effectiveness and higher accuracy of proposed method.

关键词： Pump test uncertainty analysis maximum entropy Monte Carlo method

作者: Xin-min ZHANG Huan-zhen ZHANG

作者单位: School of Mechanical Engineering,Shenyang University of Technology,Shenyang,P.R. China School of Mechanical Engineering,Shenyang University of Technology,Shenyang,P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management(2010年IEEE第17届工业工程与工程管理国际学术会议)

会议地点: 厦门

会议语种:英文

页码: 1628-1631

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）