Rui Wang

A data-driven fault diagnosis method for rolling bearings: a model based on MorletConv CNN interpretability

The validation results on multiple typical bearing fault datasets show that the proposed MorletConv CNN model is characterised by enhanced physical interpretability and generalisation ability while maintaining high diagnostic accuracy, providing new ideas and method support for achieving highly reliable rolling bearing fault diagnosis.