Predictive Analysis of Equipment Health State Based on Time Series Model

In the whole life cycle management of equipment, how to accurately evaluate and scientifically monitor the health status of equipment through the existing accumulated reliability data has always been an urgent problem to be solved in equipment management. Based on the fault data accumulated in the history of a communication equipment, this paper uses time series analysis method to predict and analyze the running state of the equipment in the whole life cycle management process, effectively improving the efficiency of equipment management.