A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

Application of CSA-VMD and optimal scale morphological slice bispectrum in enhancing outer race fault detection of rolling element bearings

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

Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network

Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition

Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process