A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines. - Sebastian Schwendemann; Zubair Amjad; Axel Sikora (Comput. Ind., 2021)

Bearing fault diagnosis with intermediate domain based Layered Maximum Mean Discrepancy: A new transfer learning approach. - Sebastian Schwendemann; Zubair Amjad; Axel Sikora (Eng. Appl. Artif. Intell., 2021)

Detailed Study of Different Degradation Stages of Bearings in a Practical Reference Dataset. - Sebastian Schwendemann; Andreas Rausch 001; Axel Sikora (ETFA, 2023)

A Hybrid Predictive Maintenance Solution for Fault Classification and Remaining Useful Life Estimation of Bearings Using Low-Cost Sensor Hardware. - Sebastian Schwendemann; Andreas Rausch 001; Axel Sikora (ISM, 2023)

Transfer-Learning-Based Estimation of the Remaining Useful Life of Heterogeneous Bearing Types Using Low-Frequency Accelerometers. - Sebastian Schwendemann; Axel Sikora (J. Imaging, 2023)

Transfer Learning for Predictive Maintenance Solutions. - Sebastian Schwendemann (Dr. Hut, 2024)