李贺龙,于海波,何娇兰.基于数据融合方法的智能电能表运行剩余寿命预测[J].电测与仪表,2019,56(18):126-133. Li Helong,Yu Haibo,He Jiaolan.Remaining life prediction of smart electricity meter based on data fusion method[J].Electrical Measurement & Instrumentation,2019,56(18):126-133.
基于数据融合方法的智能电能表运行剩余寿命预测
Remaining life prediction of smart electricity meter based on data fusion method
This paper combines the accelerated degradation test data and the external field detection degradation data to predict the remaining life of the smart energy meter online operation. Firstly, a nonlinear Wiener process degradation model and a temperature-humidity comprehensive acceleration model are established based on accelerated degradation test (ADT) data, and Bayesian theory is used to estimate the model parameters. Secondly, using the degradation data of the external field detection to continuously update the parameters in the degradation model, the particle filter algorithm is used to realize this update process. Finally, the remaining life prediction result of the smart electricity meter at the time of detecting the external field state is given. The method solves two problems. One is to solve the problem that the evaluation of the on-line operation status of the smart electricity meter is inaccurate by using only ADT data; the second is to solve the problem that the prediction model is inaccurate only by using the data volume under the use of the external field. Not only that, the accuracy of parameter updates using the Particle Filter (PF) algorithm is also high. Therefore, this paper has certain reference value for the research of smart electricity meter data fusion method.
