Predicting the Smart Meters Life Cycle Based on the Analysis of Correlation Coefficient

摘要

Since smart meters work at the long status without any supervision, their confidence is very important. This paper proposes an algorithm model of analyzing the related attributes with the running breakdown information of the smart meter, which can be utilized to predicate reliability of the life cycle of the smart meter. Because the limited data, the model mainly consider the attributes: the producer, application unit, and the failure information, without considering function, failure criteria, complexity, design, production process, working conditions, and the cost of installment and maintenances etc. The model utilizes the algorithm of neural network as the aid, and use producer, application unit, and failure info as the main attributes. Through the experiments of all the 16000 data, the fault predicting rate is 1 %, which can prove the practicality.