Electricity Meters Testing Risks

Abstract

Product quality testing should be effective. It is necessary to minimize the risks of making erroneous decisions. During testing, errors of the 1-st kind (a suitable product is rejected) and the 2-nd kind (an unsuitable product is mistakenly accepted) can occur. Quality indicators of mass-produced products testing are the risks for customers and manufacturers. The risks assessment accuracy depends on several factors. It is proposed to use the upper confidence limits of the indicated risks when developing and certifying control methods. It was proposed to find these confidence limits and requirements for the measurement accuracy during control by the Monte Carlo method. The advantage of this method is the ability to obtain numerical results without performing a physical experiment or complex analytical calculations. Quantitative estimates of desired risks of making erroneous decisions when testing electric meters are obtained. Due to this method, it is possible to investigate the dependence of these risks on the volume of the products controlled sample considering the measurement results uncertainty. The method also allows the reasonable establishment of “control” tolerances to ensure the test results required validity.