Ignacio Díaz Blanco

Associate Professor

University of Oviedo

Spain

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Ignacio Díaz Blanco is an Associate Professor at Universidad de Oviedo, Spain. His research interests include machine learning applications in industrial systems, with a focus on anomaly detection, condition monitoring of motors, and quality inspection in robotic systems. He has published extensively on topics such as denoising autoencoders and gene expression analysis, reflecting his interdisciplinary approach to engineering and biosciences.

Articles (13)

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2025

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2025

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2025

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (7)

José Ramón Rodríguez Ossorio

Universidad de León

SPAIN

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Juan J. Fuertes

Universidad de León

SPAIN

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Luisa María Sierra

Associate Professor

University of Oviedo

SPAIN

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fernando briz

Full Professor

University of Oviedo

SPAIN

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Jose Enguita

University of Oviedo

SPAIN

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Paula Jimenez-Fonseca

University of Oviedo

SPAIN

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Daniel Pérez

Universidad de León

SPAIN

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Ignacio Díaz Blanco

Research Interests

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Articles (13)

Conditioned fully convolutional denoising autoencoder for multi-target NILM

Adaptive model based on ESN for anomaly detection in industrial systems

Sensor virtual inteligente para la inspección de calidad en sistemas robóticos de dispensación de adhesivos

Insulation Condition Assessment in Inverter-Fed Motors Using the High-Frequency Common Mode Current: A Case Study

Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview

Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction

Differential HIF2α Protein Expression in Human Carotid Body and Adrenal Medulla under Physiologic and Tumorigenic Conditions

Differential HIF2 alpha Protein Expression in Human Carotid Body and Adrenal Medulla under Physiologic and Tumorigenic Conditions

Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets

Morphing Projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets.

DCNN for condition monitoring and fault detection in rotating machines and its contribution to the understanding of machine nature

Collaborators (7)

José Ramón Rodríguez Ossorio

Juan J. Fuertes

Luisa María Sierra

fernando briz

Jose Enguita

Paula Jimenez-Fonseca

Daniel Pérez

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