Advances in flexible manipulation through the application of AI-based techniques
Author: Ander Iriondo Azpiri
2023
Thesis director
Elena Lazkano, Facultad de Informática, EHU/UPV; Ander Ansuategi, Tekniker.
Surface hardening and tempering by means of an oscillating laser beam
Author: Carlos Soriano Reyes
2022
Thesis director
Armando Yáñez, Universidade da Coruña; Ana Aranzabe, Tekniker
This work presents a study of the surface hardening and tempering processes using an oscillating laser beam, shaped by means of a high-dynamic galvanometric mirror scanner and generated by a continuous wave diode laser.
Generic semantics-based task-oriented dialogue system framework for human-machine interaction in industrial scenarios
Author: Cristina Aceta
2022
Thesis director
Aitor Soroa, Universidad del País Vasco; Izaskun Fernández, Tekniker
In Industry 5.0, in which automatization has an increasingly important role, human workers and their well-being are placed at the centre of the production process. Task-oriented dialogue systems allow workers to delegate simple tasks to industrial assets while working on more complex ones.
Desarrollo de un sistema de monitorización y control para el proceso de aporte metálico por láser basado en la digitalización tridimensional de la geometría
Author: Iker Garmendia Sáez de Heredia
2021
Thesis director
Aitzol Lamikiz, Universidad del País Vasco; Luis Uriarte, Tekniker
El principal objetivo de esta tesis es desarrollar una metodología robusta de monitorización y control del proceso de aporte, Laser Metal Deposition (LMD), que permita reducir el tiempo y coste de fabricación y aumente la calidad de las piezas fabricadas.
Context analysis to improve algorithms in condition monitoring
Author: Kerman Lopez de Calle
2020
Thesis director
Basilio Sierra Araujo, UPV/EHU; Susana Ferreiro del Río, Tekniker
Kerman Lopez de Calle, a researcher working for the Smart Information Systems Unit at the technology centre, has submitted his thesis entitled “On the use of context information for an improved application of data-based algorithms in condition monitoring”, whose main aim is to analyse the role played by context in terms of monitoring algorithms in the field of machine condition monitoring.
Fault diagnosis and planning optimisation within an e-maintenance framework
Author: Eduardo Gilabert García-Pelayo
2020
Thesis director
Basilio Sierra Araujo, UPV/EHU; Aitor Arnaiz, Tekniker
The main objective of this research work is to demonstrate the potential for improvement that techniques and methodologies related to prescriptive analytics can provide in industrial maintenance applications.