基于加速退化试验的智能电能表服役抽检试验和乘余寿命预测方法

智能电能表服役一段时间后，需要定期进行抽检，决定该批次电表能否在线服役以及还能服役多少年。本文针对到达一定期限的智能电能表进行剩余寿命预测研究。首先根据到期智能电能表的抽检结果，选择部分样本进行恒定应力加速退化试验，试验过程中对输出性能参数基本误差进行监测。根据建立的幂函数退化模型和温湿综合加速模型，利用步进应力加速试验数据处理思想，推导得到高应力下产品的伪寿命分布，从而计算得出产品在给定可靠度为0.9时产品的剩余寿命。

Service sampling test and remaining life prediction method of smart electricity meter based on accelerated degradation test

After the smart electricity meter has been in service for a period of time, it is necessary to conduct regular sampling to determine whether the batch meter can be used online and how many years it can serve. This paper studies the remaining useful life prediction for smart electricity meters that reach a certain period of time. Firstly, according to the sampling result of the expired smart electricity meter, some samples are selected for the constant stress accelerated degradation test, and the basic error of the output performance parameters is monitored during the test. According to the established power function degradation model and the temperature-humidity comprehensive acceleration model, the step-stress accelerated test data processing idea is used to derive the pseudo-life distribution of the product under high stress, and the useful remaining life of the product is calculated when the product has a given reliability of 0.9.