15 citations
6 papers
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…
A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics
Ángel Longueira-Romero, Rosa Iglesias, Jose Luis Flores +1
Industrial components are of high importance because they control critical infrastructures that form the lifeline of modern societies. However, the rapid evolution of industrial co…
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…
An Attribute Oriented Induction based Methodology for Data Driven Predictive Maintenance
Javier Fernandez-Anakabe, Ekhi Zugasti Uriguen, Urko Zurutuza Ortega
Attribute Oriented Induction (AOI) is a data mining algorithm used for extracting knowledge of relational data, taking into account expert knowledge. It is a clustering algorithm t…
Model Reduction of Converter-Dominated Power Systems by Singular Perturbation Theory
Umberto Biccari, Noboru Sakamoto, Eneko Unamuno +3
The increasing integration of power electronic devices is driving the development of more advanced tools and methods for the modeling, analysis, and control of modern power systems…
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems Using Multivariate Statistical Process Control
Mikel Iturbe, José Camacho, Iñaki Garitano +2
Process Control Systems (PCSs) are the operating core of Critical Infrastructures (CIs). As such, anomaly detection has been an active research field to ensure CI normal operation.…