Research on Equipment Fault Analysis based on Machine Learning Algorithm

This paper builds an intelligent operation and maintenance platform based on machine learning algorithm through using the equipment level and system level fault monitoring data generated in the operation and maintenance process and combining with machine learning data analysis technology. It focuses on solving the difficult problems such as fault feature selection, fault diagnosis model classification, time series trend prediction, etc. The above research provides a decision-making reference for operating the communication links and making equipment maintenance scientifically, which has certain engineering application value and practical significance.