The health status of the motor is always related to the efficiency of production equipment operation and the quality of the product.If the motor malfunctions seriously,it may lead to production stagnation and casualties.Traditional motor monitoring technology generally requires regular manual inspections,with a long monitoring cycle that cannot detect thermal faults in the motor in a timely manner,resulting in motor damage.Digital twin technology provides a new solution for motor health prediction.By establishing digital twins of physical prototypes,analyzing twin model data,simulating electromagnetic losses and temperature changes of actual motors under different working conditions,motor temperature prediction can be achieved.
关键词
数字孪生/永磁同步电机/温度预测/模型构建
Key words
digital twin/permanent magnet synchronous motor/temperature prediction/model construction
维普
万方数据