Intelligent diagnosis and predictive maintenance system for motors oriented to industrial internet
面向工业互联网的电机智能诊断与预测性维护系统

摘要

面向工业互联网的电机智能诊断与预测性维护系统融合传感器监测、大数据分析、人工智能与云计算，实现电机运行状态的实时监控、故障智能诊断与寿命预测管理。系统通过多源数据采集与特征分析，构建健康评估模型，提前识别潜在隐患，减少计划外停机与维护成本，并支持远程集中管理与运维策略优化。该模式推动企业运维向数字化、智能化转型，提高设备利用率与生产效率，保障工业生产的高效与安全。

Abstract

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.