Area of research
Control and Systems Engineering · Safety, Risk, Reliability and Quality
Research interest
Research interests include Electrocatalyst, Catalysis, SIGNAL (programming language), Fault (geology), Support vector machine, and Computer science.
Wear and life predictions for bearings considering simulation-to-reality variability
A Data Compression Method With an Encryption Feature for Safe and Lightweight Vibration Condition Monitoring
Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis
Improved Hilbert–Huang transform with soft sifting stopping criterion and its application to fault diagnosis of wheelset bearings
Turning main-group element magnesium into a highly active electrocatalyst for oxygen reduction reaction
Optimizing Electron Densities of Ni‐N‐C Complexes by Hybrid Coordination for Efficient Electrocatalytic CO<sub>2</sub> Reduction
Modeling of the safe region based on support vector data description for health assessment of wheelset bearings
Three new models for evaluation of standard involute spur gear mesh stiffness
Improved local mean decomposition for modulation information mining and its application to machinery fault diagnosis
Remaining useful life prediction of rolling element bearings based on health state assessment
An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process