Abstract Objectives The rapid growth of machine learning methods has led to an increase in the demand for data. For bearing fault diagnosis. the data acquisition is time-consuming with complicated processes. Existing datasets are only focused on only one type of bearing. https://www.incredibleindiatourtravels.com/