A5055152622- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Advanced machining processes and optimization
- Fault Detection and Control Systems
Wuhan University of Science and Technology
2022-2023
In order to improve the diagnosis accuracy and generalization of bearing faults, an integrated vision transformer (ViT) model based on wavelet transform soft voting method is proposed in this paper. Firstly, discrete (DWT) was utilized decompose vibration signal into subsignals different frequency bands, then these were transformed a time–frequency representation (TFR) map by continuous (CWT) method. Secondly, TFR maps input with respective multiple individual ViT models for preliminary...
To solve the fault diagnosis difficulty of bearings with small data samples, a novel multi-information fusion vision transformer (ViT) model based on time–frequency representation (TFR) maps is proposed in this paper. The original vibration signal decomposed into different scale sub-signals by discrete wavelet transforms (DWTs), and continuous (CWTs) are used to transform these maps, which concatenated input ViT diagnose bearing fault. Through multifaceted experiment analysis results...