**5. Experiments**

*5.1. Data*

The main types of faults in the experimental motor vibration data are inter-turn short circuit, air gap eccentricity, rotor broken strips, bearing seat damage, bearing wear, etc. There are 8 kinds of samples, the number of samples is 8000, and the number of sampling points per second is 1024, as shown in Table 2. The deep learning framework is PaddlePaddle 1.8.4. The CPU of the training platform is Intel Xeon Gold 6171C. The GPU is Nvidia Tesla V100 (16G). GPU acceleration is performed by CUDA 10.1, and the experimental dataset is divided into training and test sets (7:3).


