17 citations · 35 across the 5 of their papers we have counts for
5 papers
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics
Jokin Alcibar, Jose I. Aizpurua, Ekhi Zugasti
Batteries are a key enabling technology for the decarbonization of transport and energy sectors. The safe and reliable operation of batteries is crucial for battery-powered systems…
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations
Jokin Alcibar, Jose I. Aizpurua, Ekhi Zugastia +1
Health monitoring of remote critical infrastructure is a complex and expensive activity due to the limited infrastructure accessibility. Inspection drones are ubiquitous assets tha…
Diagnostic Spatio-temporal Transformer with Faithful Encoding
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen +2
This paper addresses the task of anomaly diagnosis when the underlying data generation process has a complex spatio-temporal (ST) dependency. The key technical challenge is to extr…
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss
Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
Deep Learning has become a very valuable tool in different fields, and no one doubts the learning capacity of these models. Nevertheless, since Deep Learning models are often seen…
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
Oscar Serradilla, Ekhi Zugasti, Urko Zurutuza
Given the growing amount of industrial data spaces worldwide, deep learning solutions have become popular for predictive maintenance, which monitor assets to optimise maintenance t…