The predictive maintenance system for large electromechanical equipment is an application of equipment maintenance strategies based on data analysis and prediction technology. Compared with traditional regular maintenance and fault maintenance, predictive maintenance aims to monitor the operating conditions of equipment in real time, predict potential failures and performance degradation, and carry out maintenance and repairs at appropriate times, thereby improving equipment reliability, efficiency and life. Based on key signals such as electrical characteristics and vibration, this system uses intelligent models to predict possible faults in different parts, and realizes business applications such as fault early warning, fault location, and fault root cause analysis.