Fault diagnosis of wind turbine gearboxes using SABO-optimised VMD and CNN-SVM integrated model
A gearbox fault diagnosis method that integrates variational mode decomposition optimised by the subtraction-average-based optimiser (SABO) with a classification framework combining convolutional neural network (CNN) and support vector machine (SVM), which achieves a diagnostic accuracy of 96.43%, significantly outperf...