Journal of Electrical Engineering and Automation

The intelligent diagnosis and predictive maintenance system for motors oriented to industrial Internet integrates sensor monitoring, big data analysis, artificial intelligence and cloud computing to realize real-time monitoring of motor operation status, intelligent fault diagnosis and life prediction management. Through multi-source data collection and feature analysis, the system constructs a health assessment model to identify potential hidden dangers in advance, reduce unplanned downtime and maintenance costs, and support remote centralized management and optimization of operation and maintenance strategies. This model promotes the transformation of enterprise operation and maintenance to digitalization and intelligence, improves equipment utilization and production efficiency, and ensures the efficiency and safety of industrial production.

Industrial internet; Intelligent motor diagnosis; Predictive maintenance; Big data analysis; Artificial intelligence