Publications, Activities, and Awards
- A deep bi-directional long short-term memory model for automatic rotating speed extraction from raw vibration signals
- Aluminum structure crack length estimation and prediction
- Analysis of vibration signals and detection for multiple tooth cracks in spur gearboxes
- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration
- Scholarship
- Structure fatigue crack length estimation and prediction using ultrasonic wave data based on ensemble linear regression and Paris’s law
- Virtual rotating speed meter: Extracting machinery rotating speed from vibration signals based on deep learning and transfer learning
- Virtual Rotating Speed Meter: Extracting Machinery Rotating Speed from Vibration Signals Based on Deep Learning and Transfer Learning
- Weighted domain adaptation networks for machinery fault diagnosis