基于贝叶斯的智能电能表可靠性评估方法

针对具有高可靠、长寿命特点的智能电能表,应用加速退化试验方法进行可靠性评估是一种有效的方法。开展加速退化试验过程中,在高加速应力激发下,一方面可观测到智能电能表的性能退化,也可能出现智能电能表的整表失效。如何融合智能电能表加速寿命试验过程中的整表失效数据、性能退化数据转化得到的伪寿命数据,从而进行智能电能表的综合可靠性评估,是智能电能表可靠性评估急需解决的问题。本文研究提出基于贝叶斯方法的智能电能表可靠性评估方法,给出融合智能电能表的整表失效数据、伪寿命数据的数据处理方法及计算模型,探讨了伪失效数据计算方法、整表失效数据与伪失效寿命数据相容性检验方法等。

Reliability Assessment Method for Smart Meter based on Bayesian

Accelerated Deterioration Test (ADT) can be used as a valid method to accessing reliability of smart meter which is highly reliable with a long lifetime. Under the intensive stress environment, one can not only observe the deterioration on the performance of a smart meter, but also observe the failure of a smart meter. It is very important to find out how to merge these two kinds of data, i.e., the failure data of smart meter and the deterioration data of smart meter, to obtain the Pseudo-Failure Lifetime data, for a purpose of reliability assessment. This work studied a method of reliability assessment on smart meter based on Bayesian method, presented a way of merging the failure data of smart meter and the deterioration data of smart meter, and studied a method of consistency check on these two sets of data.