港口重载大功率设备工况复杂，受强腐蚀、大温差等极端环境使运行不稳定性加剧，造成关键驱动电机能效降低、电气故障频发、传动部件损坏等问题，其健康状态识别十分困难，严重影响无人化港口安全运行。本项目拟展开港口重载AGV大功率开关磁阻电机健康评估方法研究：深入揭示多物理场耦合条件下电机运行机理，分析温度场-振动模态-电磁场耦合下的运行特性以构建机理驱动模型；通过稀疏分解理论实现强干扰下的弱信号特征增强及提取方法；采用共形几何与流形学习理论提取电机机理驱动模型与数据驱动模型之间的关联特征，利用其结构化几何刻画能力与多尺度特性，整合多机全局稳定特征与局部特异特征，探索演化规律和度量标准，建立适用于大功率开关磁阻电机健康评估的双驱动模型建模方法。本研究工作符合极端环境下机械装备健康监测这一国家发展战略需求，对提升自动化港口设备运维水平具有重要理论意义和实践价值。

The working conditions of heavy-duty and high-power equipment in ports are complex, and the operation instability is aggravated by extreme environments such as strong corrosion and large temperature fluctuation, resulting in the efficiency reduction of the electric motors, frequent electrical system failures and damage of the transmission components. It is difficult to identify the health status of the motors, which seriously affects the safe operation of the unmanned highly-automated ports. This project carries out the study on the health assessment methods for the high-power switched reluctance motors of the port heavy-duty AGV: reveal the mechanism of the motor under the condition of multi-physical field coupling, analyze the operation characteristics under the coupling cases of temperature field- vibration modal - electromagnetic field to build the physical mechanism-driven model; use the sparse decomposition theory to enhance and extract the weak signal characteristics under strong signal interferences; by using conformal geometry and manifold learning, extract the correlative features between the physical mechanism-driven model and the data-driven model of the motor, integrates the global stability characteristics and local specificity characteristics of the multiple AGVs, explore the development law and metric criterion, and establish a dual-driven modeling method suitable for the health assessment of the high-power switched reluctance motors by utilizing its structured geometric description ability and multi-scale characteristics. This research work is consistent with the national development strategy of health monitoring of mechanical equipment in extreme environments and may leverage both the theoretical value and the practical value, and contribute to the maintenance of the equipment in automated port.