Electric machines
- Garcia-Perez, Diego; Saeed, Mariam; Diaz, Ignacio; Enguita, Jose M.; Guerrero, Juan Manuel; Briz, Fernando, "Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview". IEEE Access. 12: 27167-27179, 2024. DOI: https://doi.org/10.1109/ACCESS.2024.3366810
- González-Muñiz, Ana; Díaz, Ignacio; Cuadrado, Abel A.; García-Pérez, Diego, "Health indicator for machine condition monitoring built in the latent space of a deep autoencoder". Reliability Engineering and System Safety. 224, 2022. DOI: https://doi.org/10.1016/J.RESS.2022.108482
- González-Muñiz, Ana; Díaz, Ignacio; Cuadrado, Abel A.; García-Pérez, Diego; Pérez, Daniel, "Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders". Computers and Electrical Engineering. 101, 2022. DOI: https://doi.org/10.1016/J.COMPELECENG.2022.108065
Steel industry
- Garcia-Perez, Diego; Perez-Lopez, Daniel; Diaz-Blanco, Ignacio; Gonzalez-Muniz, Ana; Dominguez-Gonzalez, Manuel; Cuadrado Vega, Abel Alberto, "Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings". IEEE Transactions on Smart Grid. 12(3): 2722-2731, 2021. DOI: https://doi.org/10.1109/TSG.2020.3047712
- Ordoñez, Daniel G.; Cuadrado, Abel A.; Díaz, Ignacio; García, Francisco J.; Díez, Alberto B.; Fuertes, Juan J., "Visual analysis of residuals from data-based models in complex industrial processes". International Journal of Modern Physics B. 26(25), 2012. DOI: https://doi.org/10.1142/S0217979212460022
- Díaz, Ignacio; Cuadrado, Abel A.; Diez, Alberto B.; Domínguez, Manuel; Fuertes, Juan J.; Prada, Miguel A. "Visualization of changes in process dynamics using self-organizing maps". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 343-352, 2010. DOI: https://doi.org/10.1007/978-3-642-15822-3_42
Theory and methods
- Díaz, Ignacio; Hollmén, Jaakko "Residual generation and visualization for understanding novel process conditions". In Proceedings of the International Joint Conference on Neural Networks. pp. 2070-2075, 2002.
