Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Aitor Duo
Observed names:
AITOR DUO,
Aitor Duo Zubiaurre,
Duo, Aitor
Institution:
Mondragon Unibertsitatea
Observed institution:
Mondragon Unibertsitatea
ORCID:
0000-0003-1001-7845
Observed ORCID:
0000-0003-1001-7845
OpenAlex ID:
A5006058161
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
2019
·
Aitor Duo
, Rosa Basagoiti
, et al.
·
The International Journal of Advanced Manufacturing Technology
·
27
Drilling process monitoring: a framework for data gathering and feature extraction techniques
2021
·
Aitor Duo
, Tiziana Segreto
, et al.
·
Procedia CIRP
·
16
PDF
Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation
2021
·
Aitor Duo
, Rosa Basagoiti
, et al.
·
International Journal of Computer Integrated Manufacturing
·
14
PDF
Data-Driven Optimization of Plasma Electrolytic Oxidation (PEO) Coatings with Explainable Artificial Intelligence Insights
2024
·
Patricia Fernández-López
, Sofia A. Alves
, et al.
·
Coatings
·
13
PDF
Surface roughness assessment on hole drilled through the identification and clustering of relevant external and internal signal statistical features
2021
·
Aitor Duo
, Rosa Basagoiti
, et al.
·
CIRP journal of manufacturing science and technology
·
6
Data-driven methodology for optimal Lithium-ion battery RUL prediction
2023
·
Daniel Puente
, Jon Amelibia
, et al.
·
Research Square
·
4
PDF
OptiTwin: Data-Driven Machining Process Optimization Platform for SMEs
2024
·
José Joaquín Peralta Abadía
, Felix Larrinaga Barrenechea
, et al.
·
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
·
2
Active Power Optimization of a Turning Process by Cutting Conditions Selection: A Q-Learning Approach
2022
·
Aitor Duo
, Daniel Reguera-Bakhache
, et al.
·
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
·
2
A Guided Methodology for Designing and Implementing Reinforcement Learning-Based Maintenance Schedulers in Real Manufacturing Assembly Lines
2024
·
Ohiana Leiza
, Aitor Duo
, et al.
·
SSRN Electronic Journal
A Novel Reinforcement Learning Based Maintenance Scheduling Framework for Real Manufacturing Assembly Lines
2023
·
Unai Izagirre
, Aitor Duo
, et al.
·
SSRN Electronic Journal
Qualitative Estimation of Roughness Using Automatic Learning Algorithms in a Drilling Operation
2020
·
AITOR DUO
, ERIKA DOMINGUEZ ROMERO
, et al.
·
DYNA
PDF
Drilling test data from new and worn bits
2019
·
Aitor Duo Zubiaurre
, Rosa Basagoiti
, et al.
Show more works
View as search
Works count:
15
Citation count:
84
H-index:
5
I10-index:
4
Year
Topic
Type
