Research Areas :: Thesis

Intelligent manufacturing and industry

Real-time implementation of low-switching frequency modulation strategies for active power filters, Irati Ibañez (2024). International Doctorate Distinction. Industrial Doctorate Distinction. Supervised by Asier Zubizarreta.
A Hyper-heuristic Inspired Methodology for Failure Prediction in the Context of Industry 4.0, Adriana Navajas (2023). Industrial Doctorate Distinction. Supervised by Eva Portillo Pérez and Diana Manjarres.
Design and Development of Soft-sensors in the Context of Oil and Gas 4.0: an AutoML Approach based on Machine Learning Feature Engineering, Iratxe Niño (2022). Doctoral Dissertation Award. Industrial Doctorate Distinction. Supervised by Eva Portillo Pérez and Itziar Landa.
Diamantagailuaren Higaduraren Azterketa Esperimentala Artezketa Prozesuan, Xabier Cearsolo (2017). Supervised by Itziar Cabanes Axpe and José Antonio Sánchez Galí­ndez.
Recurrent Neural Network Based Approach for Estimating the Dynamic Evolution of Grinding Process Variables, Ander Arriandiaga Laresgoiti (2016). International Doctorate Distinction. Supervised by Eva Portillo Pérez and José Antonio Sánchez Galí­ndez.
Diagnosis of the degradation process of wire erosion: application of intelligent techniques (Diagnóstico de la degradación del proceso de electroerosión por hilo: aplicación de técnicas inteligentes), Eva Portillo Pérez (2007). Doctoral Dissertation Award. Supervised by Itziar Cabanes Axpe and Marga Marcos.
Desarrollo de un nuevo Sensor de Desgaste Inteligente basado en redes CNN y LSTM para la monitorización de estado de herramienta, Beñat Gallastegi Zelaia-Zugadi (ongoing). Industrial Doctorate Distinction. Supervised by Itziar Cabanes Axpe and José Antonio Sánchez Galí­ndez.
Sistema inteligente de predicción de defectos internos en proceso de fabricación aditiva por LMD, Jon Flores Prado (ongoing). Industrial Doctorate Distinction. Supervised by Itziar Cabanes Axpe.