DEVICES AND METHODS OF MEASUREMENTS
|
2019年
/
10卷
/
01期
关键词:
magnetics measurements;
error of measurement;
linear regression equation;
correlation coefficient;
STEELS;
D O I:
10.21122/2220-9506-2019-10-1-90-98
中图分类号:
TH7 [仪器、仪表];
学科分类号:
0804 ;
080401 ;
081102 ;
摘要:
Magnetic testing of steels' mechanical properties is based on their correlation with steels' magnetic parameters. The purpose of this work was to establish dependence of the attainable correlation coefficient R-max between measurement results and the parameter values a on the reduced error of its measurement. The article proposes a model of the correlation field between the parameter true values and the results of its measurement with a given reduced error delta. The merits and legitimacy of using the model for estimation of the achievable correlation coefficient R-max are substantiated. Analysis of influence of delta parameter measurement in different ranges d of its change on R-max is carried out. Results are compared with the previous analysis for the relative measurement error. It has been established in this work that the coefficient R-max calculated for the reduced measurement error is always smaller than R-max one calculated for the relative measurement error. However in the practically important range of variation of d with delta <= 0.05 the difference between the R-max values calculated for the reduced and relative measurement errors is not large. This allows us to use the developed formula for the dependence R-max = R-max (delta, d) at R-max >= 0.8 for both relative and reduced measurement errors delta. The obtained result allows us using the reduced measurement error of a metrologically certified measuring instrument to obtain the maximum attainable correlation coefficient between the true values and the results of measuring a parameter in a given range of its change without measurements. As an example, we define the conditions for the non-destructive testing of steels under which one can use measuring of magnetic parameters with the installation certified based on the reduced measurement error.