52 citations · 91 across the 4 of their papers we have counts for
4 papers
A Lightweight Transfer Learning-Based State-of-Health Monitoring with Application to Lithium-ion Batteries in Autonomous Air Vehicles
Jiang Liu, Yan Qin, Wei Dai +1
Accurate and rapid state-of-health (SOH) monitoring plays an important role in indicating energy information for lithium-ion battery-powered portable mobile devices. To confront th…
Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve
Kate Qi Zhou, Yan Qin, Chau Yuen
Data-driven methods have gained extensive attention in estimating the state of health (SOH) of lithium-ion batteries. Accurate SOH estimation requires degradation-relevant features…
A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions
Anushiya Arunan, Yan Qin, Xiaoli Li +1
By informing the onset of the degradation process, health status evaluation serves as a significant preliminary step for reliable remaining useful life (RUL) estimation of complex…
LightGCNet: A Lightweight Geometric Constructive Neural Network for Data-Driven Soft sensors
Jing Nan, Yan Qin, Wei Dai +1
Data-driven soft sensors provide a potentially cost-effective and more accurate modeling approach to measure difficult-to-measure indices in industrial processes compared to mechan…