The use of dispersion analysis to control the accuracy of measurement results of oil and petroleum products mass in railway tanks in motion
UDC: 006.915.1
DOI: -
Authors:
CHECHEL V.A.
1,
SHMIGELSKY I.YU.
1,
MEDVEDEVSKIKH S.V.
1,
ARONOV P.M.
1,
ANDREEV D.V.
1,
IVANOV M.S.
1
1 D.I. Mendeleyev Institute for Metrology, Saint-Petersburg, Russia
Keywords: measurement of oil and petroleum products mass, measurements in motion, measurements in railway tanks, monitoring of metrological characteristics, railroad scales, analysis of variance, Fisher criterion, accuracy of measurement results
Annotation:
The authors of the article discuss the problem of measuring the mass of oil and petroleum products in railway tanks in motion. This method allows reducing the time spent on measurements, but unlike the static weighing mode, additional factors arise that affect the measurement results. In this regard, when using railroad scales that have passed verification, there may be a higher measurement error for the mass of oil and petroleum products than the permitted one. The factors contribution to the error is of random nature, making it impossible to introduce a specific correction to their accounting for. The authors of the article propose algorithms based on statistical analysis of measurement results using variance analysis method to identify and manage factors which significantly influence the measurement results. In the course of the study, a series of factor experiments were conducted, and based on their results, an algorithm was developed to validate the significance of measurement conditions influence on the measurement results and an algorithm to process measurement results to monitor metrological characteristics (MMCh) and select a range of measures based on the results. The approach to conducting the experiment and analyzing the results is described. Based on the proposed method of factor normalization, it is possible to develop methods for monitoring metrological characteristics. These methods will include criteria and an algorithm for monitoring measurement conditions.
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