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The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process 

Duo, Aitor; Basagoiti, Rosa; ARRAZOLA, PEDRO JOSE; Aperribay Zubia, Javier; CUESTA ZABALAJAUREGUI, MIKEL (Springer Verlag, 2019)
Industrial processes are being developed under a new scenario based on the digitalisation of manufacturing processes.Through this, it is intended to improve the management of resources, decision-making, ...
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Survey on decentralized congestion control methods for vehicular communication 

Alonso Gómez, Arrate (Elsevier Ltd., 2022)
Vehicular communications have grown in interest over the years and are nowadays recognized as a pillar for the Intelligent Transportation Systems (ITSs) in order to ensure an efficient management of the road traffic and ...
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Automatic Web Navigation Problem Detection Based on Client-Side Interaction Data 

Valencia Parafita, Xabier (Korea Information Processing Society-Computer Software Research Group, 2021)
The current importance of digital competence makes it essential to enable people with disabilities to use digital devices and applications and to automatically adapt site interactions to their needs. Although most of the ...
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Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation 

Duo, Aitor; Basagoiti, Rosa; ARRAZOLA, PEDRO JOSE; CUESTA ZABALAJAUREGUI, MIKEL (Taylor & Francis, 2021)
Tool condition monitoring have an important role in machining processes to reduce defective component and ensure quality requirements. Stopping the process before the tool breaks or an excessive tool wear is reached can ...

Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics 

Aizpurua Unanue, Jose Ignacio (Elsevier, 2023)
In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ...
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Big Data Life Cycle in Shop-floor. Trends and Challenges 

Peralta Abadía, José Joaquín; Carrera-Rivera, Angela (IEEE, 2023)
Big data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from ...
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A maturity model for the autonomy of manufacturing systems 

Nguyen Ngoc, Hien (Springer, 2023)
Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, and worker availability all require ...
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A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems 

Penalba, Markel; Aizpurua Unanue, Jose Ignacio (Elsevier, 2022)
The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term ...
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A methodology for performance assessment at system level—Identification of operating regimes and anomaly detection in wind turbines 

Urmeneta Olmedo, Jon; Izquierdo, Juan (Elsevier, 2023)
In the growing wind energy sector, as in other high investment sectors, the need to make assets profitable has put the spotlight on maintenance. Efficient solutions which leverage from condition or performance based ...
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Data-Driven Fault Diagnosis for Electric Drives: A Review 

González Jiménez, David; del-Olmo, Jon; Poza, Javier; Garramiola, Fernando; Madina, Patxi (MDPI, 2021)
The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has ...

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AuthorAizpurua Unanue, Jose Ignacio (2)ARRAZOLA, PEDRO JOSE (2)Basagoiti, Rosa (2)CUESTA ZABALAJAUREGUI, MIKEL (2)Duo, Aitor (2)Alonso Gómez, Arrate (1)Aperribay Zubia, Javier (1)Carrera-Rivera, Angela (1)del-Olmo, Jon (1)Garramiola, Fernando (1)... View MoreSubject
Machine learning (10)
Drilling (2)Tool condition monitoring (2)Accesibility (1)Adaptive Systems (1)Big Data (1)Classification algorithms (1)condition monitoring (1)Data communication (1)Data mining (1)... View MoreDate Issued2023 (4)2021 (3)2022 (2)2019 (1)Has File(s)
Yes (10)

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