Wind energy has achieved a leading position among renewable energies. The global
installed capacity in 2022 was 906 GW of power, with a growth of 8.4% compared to the …

The proposed transfer learning-based fault diagnosis models have achieved good results in
multi-source domain generalization (MDG) tasks. However, research on single-source …

Accurately diagnosing bearing faults is crucial for maintaining the efficient operation of
rotating machinery. However, traditional diagnosis methods face challenges due to the …

Wind turbine rolling bearings are crucial components for ensuring the reliability and stability
of wind power systems. Their failure can lead to significant economic losses and equipment …

Current fault detection methods for rolling bearings suffer from insufficient data, which limits
the generalizability of the models. Typically, conventional approaches train models with a …

This paper presents a study on the problem of burrs on the electrodes of new energy
batteries, which are a major factor contributing to battery short-circuits and explosions …

This study introduces an innovative condition monitoring test rig for the differential planetary
roller screws (DPRS), focusing on their performance in extreme conditions. It underscores …

Background: Lungs from patients with coronavirus disease 2019 (COVID-19) have shown
typical signs of acute respiratory distress syndrome (ARDS), formation of hyaline membrane …