Xiang-Feng Duan

Bearing Fault Recognition Based on Signal Enhancement and an Improved Convolutional Neural Network

To address the challenges of bearing fault recognition, a hybrid intelligent method based on signal processing and convolutional neural networks (CNN) is constructed. A test bench based on a worm gear reducer is built to collect vibration signals with four typical fault conditions: inner race crack, outer race crack, r...