基于深度学习和改进RGB声学图像的永磁同步电机转子与轴承两阶段故障识别数字孪生系统

This article proposes a diagnosis method for six types of rotor and bearing faults of permanent magnet synchronous motor based on acoustic signals, and builds a digital twin system for two-stage diagnosis on the basis of an Internet of Things component and the cloud. The first stage is located at the edge of the motor, only short-term Fourier transform and convolutional neural network are used to ...