Area of research
Control and Systems Engineering · Safety, Risk, Reliability and Quality
Research interest
Research focused on Prognostics and Predictive maintenance, with related work in Degradation (telecommunications), Decoupling (probability), Cluster analysis. Notable publications include 'Prediction Interval Estimation of Aeroengine Remaining Useful Life Based on Bidirectional Long Short-Term Memory Network', 'A Lithium-Ion Battery Degradation Prediction Model With Uncertainty Quantification for Its Predictive Maintenance', and 'Dynamic Predictive Maintenance Scheduling Using Deep Learning Ensemble for System Health Prognostics'.
A Lithium-Ion Battery Degradation Prediction Model With Uncertainty Quantification for Its Predictive Maintenance
An Interpretable Nonlinear Decoupling and Calibration Approach to Wheel Force Transducers
Data-driven predictive maintenance strategy considering the uncertainty in remaining useful life prediction
Prediction Interval Estimation of Aeroengine Remaining Useful Life Based on Bidirectional Long Short-Term Memory Network
Dynamic Predictive Maintenance Scheduling Using Deep Learning Ensemble for System Health Prognostics