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  • About eBiltegia  
    • What is eBiltegia? 
    •   About eBiltegia
    •   Publish your research in open access
    • Open Access at MU 
    •   What is Open Science?
    •   Mondragon Unibertsitatea's Institutional Policy on Open Access to scientific documents and teaching materials
    •   Mondragon Unibertsitatea's Institutional Open Access Policy for Research Data
    •   eBiltegia Digital Preservation Guidelines
    •   The Library compiles and disseminates your publications
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Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance 

Larrinaga, Felix; Garitano, Iñaki; Zugasti, Ekhi; Zurutuza, Urko (2018)
This paper presents the implementation of a refer-ence architecture for Cyber Physical Systems (CPS) to supportCondition Based Maintenance (CBM) of industrial assets. The article focuses on describing how the MANTIS ...
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Providing Proactiveness: Data Analysis Techniques Portfolios 

Zugasti, Ekhi; Zurutuza, Urko (River Publishers, 2018)
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Success Stories on Real Pilots 

Zurutuza, Urko; Zugasti, Ekhi; Larrinaga, Felix (River Publishers, 2018)
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A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance 

Larrinaga, Felix; Zugasti, Ekhi; Garitano, Iñaki; Zurutuza, Urko (Sage Journals, 2019)
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Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments 

Zugasti, Ekhi; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (IEEE, 2018)
Industrial environments have vastly changed sincethe conception of initial primitive and isolated networks. Thecurrent full interconnection paradigm, where connectivity be-tween different devices and the Internet has become ...
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Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery 

Serradilla, Oscar; Zugasti, Ekhi; Cernuda, Carlos; Zurutuza, Urko (IEEE, 2020)
This paper presents the implementation and explanations of a remaining life estimator model based on machine learning, applied to industrial data. Concretely, the model has been applied to a bushings testbed, where fatigue ...
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Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Taylor and Francis, 2022)
The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ...
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Towards a Probabilistic Fusion Approach for Robust Battery Prognostics 

Alcibar, Jokin; Aizpurua Unanue, Jose Ignacio; Zugasti, Ekhi (PHM Society, 2024)
Batteries are a key enabling technology for the decarbonization of transport and energy sectors. The safe and reliable operation of batteries is crucial for battery-powered systems. In this direction, the development of ...

Towards a probabilistic error correction approach for improved drone battery health assessment 

Alcibar, Jokin; Aizpurua Unanue, Jose Ignacio; Zugasti, Ekhi (Research Publishing, Singapore, 2023)
Health monitoring of remote critical infrastructure, such as offshore wind turbines, is complex and expensive. For the offshore energy sector, the accessibility for on-site asset inspection is hampered due to their harsh ...
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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
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AuthorZugasti, Ekhi (18)Zurutuza, Urko (9)Serradilla, Oscar (5)Larrinaga, Felix (4)Aizpurua Unanue, Jose Ignacio (3)Cernuda, Carlos (3)Garitano, Iñaki (3)258801e789092df35406fc9d07e50998 (2)562eb17a2dabf441aa47e763e12489fb (2)Alcibar, Jokin (2)... View MoreSubjectdeep learning (3)predictive maintenance (3)Condition based maintenance CBM (2)Cyber Physical Systems CPS (2)Defect detection (2)domain knowledge (2)Explainable Artificial Intelligence (2)Industry 4.0. (2)manufacturing (2)optical quality control (2)... View MoreDate Issued2023 (6)2018 (4)2021 (2)2022 (2)2024 (2)2019 (1)2020 (1)Has File(s)Yes (18)

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Contact Us | Send Feedback
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