Quick sampling and detecting method for intelligent ammeter

Abstract

The invention discloses a quick sampling and detecting method for an intelligent ammeter, which belongs to the reliability detection technology of intelligent ammeters. The method comprises the following steps: determining the accelerated degeneration factor under the accelerated test condition, and accordingly determining the test time under the accelerated stress condition; judging the submissive distributional type of false life data obtained in the accelerated degradation test, and selecting an applicable reliability sampling and detecting model; and providing a sampling plan including both the extracted sample size and the acceptance number under the conditions of given reliability and application risk, and accordingly determining an accelerated verification scheme. The invention provides a quick verification scheme for determining whether the reliability of a newly designed, researched and developed intelligent ammeter conforms to the requirement or not, and the false life data obtained in the accelerated degradation test is adopted to achieve one-step sampling inspection on the reliable service life of the intelligent ammeter, so that whether the reliable product service life conforms to the requirement can be quickly verified.

Description

technical field [0001] The invention relates to a reliability inspection technology of an intelligent electric meter, in particular to a rapid sampling detection method for the reliable life of an intelligent electric meter. Background technique [0002] Sampling inspection, also known as sampling inspection, is a statistical method and theory that randomly selects a small number of products (samples) from a batch of products for inspection, and judges whether the batch of products is qualified or not. Unlike blanket inspection, which inspects a batch of products individually and identifies nonconforming items, sampling inspections use the results of inspections in a sample to infer the quality of a batch of products. If the inference result is that the batch of products meets the pre-specified qualification standards, it is accepted, otherwise it is rejected. Therefore, a batch of products considered qualified after sampling inspection may also contain some unqualified pro...

AI Technical Summary

Problems solved by technology

However, this method is based on the premise that the life of the meter obeys the exponential distribution, that is to say, if the life distribution of the meter is unknown, the standard is not applicable, so this method is not suitable for the newly developed smart meter

In addition, the method provided by this standard is formulated based on the field use data of ordinary civilian electric meters. Due to the improvement of production technology and electric meter performance, still using this method will inevitably bring about large evaluation errors.

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