1D-CNN-Based Fault Diagnosis for Traction Motors Using Vibration and Current Signals
Accurate defect detection of traction motors is essential for preserving the performance and safety of electric cars and industrial gear. This research presents a onedimensional convolutional neural network (1D-CNN) architecture for the automated identification of faults using vibration and current information obtained...