Uncertainty analysis for pump test based on maximum entropy and Monte Carlo method

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 entrop...

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Bibliographic Details
Published in2010 IEEE 17Th International Conference on Industrial Engineering and Engineering Management pp. 1628 - 1631
Main Authors Xin-min Zhang, Huan-zhen Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Analytical models
Electromagnetics
Instruments
maximum entropy
Measurement uncertainty
Monte Carlo method
Pressure measurement
Pump test
Rotation measurement
Uncertainty
uncertainty analysis
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ISBN1424464838
9781424464838
DOI10.1109/ICIEEM.2010.5646098

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Summary: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.
ISBN:1424464838
9781424464838
DOI:10.1109/ICIEEM.2010.5646098