Publikationen, an denen er mitarbeitet Ekhi Zugasti Uriguen (22)

2024

  1. A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images

    Applied Sciences, Vol. 14, Núm. 7, pp. 2785

  2. Towards Robust Defect Detection in Casting Using Contrastive Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Towards a Probabilistic Fusion Approach for Robust Battery Prognostics

    PHM Society European Conference

  4. Towards an Advanced Artificial Intelligence Architecture Through Asset Administration Shell and Industrial Data Spaces

    Lecture Notes in Mechanical Engineering

2023

  1. Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation

    Energies, Vol. 16, Núm. 8

  2. Diagnostic spatio-temporal transformer with faithful encoding

    Knowledge-Based Systems, Vol. 274

  3. Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models

    Composites Part B: Engineering, Vol. 260

  4. Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders

    Applied Sciences (Switzerland), Vol. 13, Núm. 5

  5. Towards a Probabilistic Error Correction Approach for Improved Drone Battery Health Assessment

    Proceeding of the 33rd European Safety and Reliability Conference

  6. Towards an Advanced Artificial Intelligence Architecture through Asset Administration Shell and Industrial Data Spaces

    1st European Symposium on Artificial Intelligence in Manufacturing (ESAIM2023)

2022

  1. Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects

    Applied Intelligence, Vol. 52, Núm. 10, pp. 10934-10964

  2. Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge

    International Journal of Computer Integrated Manufacturing, Vol. 35, Núm. 12, pp. 1310-1334

2021

  1. Adaptable and explainable predictive maintenance: semi-supervised deep learning for anomaly detection and diagnosis in press machine data

    Applied Sciences (Switzerland), Vol. 11, Núm. 16

  2. Impregnation quality diagnosis in Resin Transfer Moulding by machine learning

    Composites Part B: Engineering, Vol. 221

2020

  1. Contrastive explanations for a deep learning model on time-series data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Interpreting remaining useful life estimations combining explainable artificial intelligence and domain knowledge in industrial machinery

    IEEE International Conference on Fuzzy Systems

2019

  1. A Big Data implementation of the MANTIS reference architecture for predictive maintenance

    Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, Vol. 233, Núm. 10, pp. 1361-1375

2018

  1. Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance

    2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018

  2. Null is not always empty: Monitoring the null space for field-level anomaly detection in industrial IoT environments

    2018 Global Internet of Things Summit, GIoTS 2018

  3. Providing proactiveness: Data analysis techniques portfolios

    The MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance (River Publishers), pp. 145-238