【摘要】 Adaboost算法作为机器学习算法的一种，它能够通过集成提升算法精度。讨论了Adaboost算法的结构及其特点以及对永磁同步电机匝间短路故障数据的处理以及建模，实现永磁同步电机匝间短路故障诊断预测功能。实验结果显示：利用Adaboost算法对永磁同步电机进行监测，在永磁同步电机发生匝间短路故障前对可能发生匝间短路故障的隐患进行预测，可以在永磁同步电机应用的各个场合进行应用，减少因匝间短路故障给工业生产带来的影响。更多还原

【Abstract】 As a kind of machine learning algorithm,Adaboost algorithm can improve the accuracy of the algorithm through integration.The structure and characteristics of the Adaboost algorithm and the processing and modeling of the fault data of the turn-to-turn short-circuit fault of the permanent magnet synchronous motor are discussed in this paper,and the fault diagnosis and prediction function of the turn-to-turn short circuit of the permanent magnet synchronous motor is realized.The experimental results show that the use of the Adaboost algorithm to monitor permanent magnet synchronous motors can predict the potential risks of inter-turn short-circuit faults before permanent magnet synchronous motors have inter-turn shortcircuit faults,which can be carried out in various applications of permanent magnet synchronous motors.Application to reduce the impact of inter-turn short-circuit faults on industrial production.更多还原