73 citations · 186 across the 19 of their papers we have counts for
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Digital Twin for Real-time Li-ion Battery State of Health Estimation with Partially Discharged Cycling Data
Yan Qin, Anushiya Arunan, Chau Yuen
To meet the fairly high safety and reliability requirements in practice, the state of health (SOH) estimation of Lithium-ion batteries (LIBs), which has a close relationship with t…
A Hybrid Deep Learning Model-based Remaining Useful Life Estimation for Reed Relay with Degradation Pattern Clustering
Chinthaka Gamanayake, Yan Qin, Chau Yuen +3
Reed relay serves as the fundamental component of functional testing, which closely relates to the successful quality inspection of electronics. To provide accurate remaining usefu…
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation
Yan Qin, Chau Yuen, Xunyuan Yin +1
As a significant ingredient regarding health status, data-driven state-of-health (SOH) estimation has become dominant for lithium-ion batteries (LiBs). To handle data discrepancy a…
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization
Kate Qi Zhou, Yan Qin, Chau Yuen
Accurately estimating a battery's state of health (SOH) helps prevent battery-powered applications from failing unexpectedly. With the superiority of reducing the data requirement…
Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation
Yan Qin, Chau Yuen, Yimin Shao +2
Capsule network (CapsNet) acts as a promising alternative to the typical convolutional neural network, which is the dominant network to develop the remaining useful life (RUL) esti…