Synopsis of recent research by authors named "WanJie Lu"
- WanJie Lu's research primarily focuses on enhancing diagnostic methods and analytical techniques through advanced machine learning and spectroscopy approaches, addressing challenges in both accuracy and generalization.
- One of Lu's recent studies investigates a dual-branch convolutional capsule neural network for fault diagnosis in rolling bearings, aiming to improve model performance amidst noisy signals and variable conditions, and enhance feature extraction capabilities.
- Additionally, Lu has worked on improving quantitative analysis in fiber-optic laser-induced breakdown spectroscopy by mitigating self-absorption effects, which has implications for more precise elemental analysis in materials such as aluminum alloys.
