马红明.基于贝叶斯与数据驱动的智能电能表状态感知技术研究[J].电测与仪表,2022,59(2):176-182. mahongming.Research on the state perception technology of smart meters based on Bayesian and data-driven[J].Electrical Measurement & Instrumentation,2022,59(2):176-182.
基于贝叶斯与数据驱动的智能电能表状态感知技术研究
Research on the state perception technology of smart meters based on Bayesian and data-driven
In this paper, the accelerated degradation test (ADT) data is combined with the on-site detection status data to accurately evaluate the status of the smart meter. Based on the accelerated degradation test data, the degradation of linear Wiener process and the acceleration model of comprehensive humidity and temperature are established. Bayesian theory is used to estimate the parameters of the model. The external field detection state data is used to correct the parameters in the degradation model. The state evaluation result of the intelligent meter in the running state is given. The method solves the inaccuracy problem of the accelerated degradation test data for the intelligent power online operation state evaluation and the state data prediction model obtained by the external field condition, and has certain reference value for the research of the smart meter data fusion method.
