Operating state evaluation of smart electricity meter based on data fusion method

This paper integrates accelerated degradation test data and field detection state data to evaluate the state of smart electricity meter. First, linear Wiener process degradation model and comprehensive temperature and humidity acceleration model were established based on the accelerated degradation test (ADT) data, and the model parameters were estimated by bayesian theory. Second, the parameters in the degradation model were modified by using the state data of the outfield detection. Finally, the state evaluation result of the smart electricity meter under operating state is given. This method solves two problems. First, it solves the problem of inaccurate smart electricity online operation status evaluation using only ADT data. Second, it solves the problem that the inaccurate prediction model only by using the state data derived from external field condition. Therefore, this paper has a certain reference value for the research on the data fusion method of smart electricity meter.