Guifu Du

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network

Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines

An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis