195 citations
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eess.SY2026★ 82 cited
Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part B: Cycling operation
Lucu M., Martinez-Laserna E., Gandiaga I. +4
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide…
eess.SY2026★ 76 cited
Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part A: Storage operation
Lucu M., Martinez-Laserna E., Gandiaga I. +4
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide…
eess.SY2016★ 3 cited
A SHM method for detecting damage with incomplete observations based on VARX modelling and Granger causality
Unai Ugalde, Javier Anduaga, Fernando Martinez +1
A SHM method is proposed that minimises the required number of sensors for detecting damage. The damage detection method consists of two steps. In an initial characterization step,…