Browsing Artikuluak-Ingeniaritza by Title
Now showing items 133-152 of 721
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DABGEO: a Reusable and Usable Global Energy Ontology for the Energy Domain
(Elsevier B.V.Ontology usability, 2020)The heterogeneity of energy ontologies hinders the interoperability between ontology-based energymanagement applications to perform a large-scale energy management. Thus, there is the need fora global ontology that provides ... -
Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
(Elsevier, 2024)One of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent ... -
Data-Driven Fault Diagnosis for Electric Drives: A Review
(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 ... -
Data-driven glass viscosity soft sensor development and validation in a glass container manufacturing line
(Elsevier, 2025)Viscosity plays a key role in glass container manufacturing, directly impacting product quality and consistency. To date, online measuring of this property during the glass manufacturing process has been both difficult and ... -
A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
(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 ... -
Data-Driven Optimization of Plasma Electrolytic Oxidation (PEO) Coatings with Explainable Artificial Intelligence Insights
(MDPI, 2024)PEO constitutes a promising surface technology for the development of protective and functional ceramic coatings on lightweight alloys. Despite its interesting advantages, including enhanced wear and corrosion resistances ... -
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ... -
Datasets of skills-rating questionnaires for advanced service design through expert knowledge elicitation
(Springer Nature, 2022)This article presents a dataset of service design skills which service design experts value as important requirements for design team members. Purposive sampling and a chain referral approach were used to recruit appropriate ... -
Data‐Driven Low‐Frequency Oscillation Event Detection Strategy for Railway Electrification Networks
(MDPI, 2023)Low-frequency oscillations (LFO) occur in railway electrification systems due to the incorporation of new trains with switching converters. As a result, the increased harmonic content can cause catenary stability problems ... -
DC-Link Neutral Point Control for 3L-NPC Converters Utilizing Selective Harmonic Elimination PWM
(IEEE, 2021)Selective harmonic elimination–pulsewidth modulation (SHE–PWM) is a modulation technique widely used to improve the efficiency and harmonic content in medium-voltage high-power converters. Among these converters, the ... -
DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives
(MDPI AG, 2018)Due to the importance of sensors in control strategy and safety, early detection of faults in sensors has become a key point to improve the availability of railway traction drives. The presented sensor fault reconstruction ... -
DC-link Voltage Balancing Strategy based on SVM and Reactive Power Exchange for a 5L-MPC Back-to-Back Converter for Medium Voltage Drives
(IEEE, 2016)The reduced capability of multilevel converters with more than one intermediate node to balance the dc-link capacitors voltage, as well as the lack of standard modulation methods to improve their balancing performance, ... -
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
(Springer Science+Business Media, LLC, 2022)Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ... -
Deep packet inspection for intelligent intrusion detection in software-defined industrial networks: A proof of concept
(Oxford Academic, 2020)Specifically tailored industrial control systems (ICSs) attacks are becoming increasingly sophisticated, accentuating the need of ICS cyber security. The nature of these systems makes traditional IT security measures not ... -
Definición de una metodología optimizada para la simulación del desgaste en materiales
(Consejo Superior de Investigaciones Científicas (CSIC), 2010)The wear simulation with finite element method (FEM) presents great advantages for the improvement of components, because of the reduction in the cost in comparison to the experimental procedure (test time, materials, ... -
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach
(SPIE, 2020)The purpose of this paper is to explore the use of fully convolutional neural networks (FCN) to perform a semantic segmentation of deflectometric recordings for quality control of reflective surfaces. The proposed method ... -
Demand Driven MRP – The need to standardise an implementation process
(Universitat Politècnica de València, 2020)Since the creation of the demand-driven material requirement planning (DDMRP) model, numerous studies have analysed the methodology’s significant impact on different organisations. Several successful cases and research ... -
Dementia related neuropsychiatric symptoms: inequalities in pharmacological treatment and institutionalization
(Dove Medical Press Limitedprevalence, 2019)Background: Dementia-related neuropsychiatric symptoms (NPS) are the main determinant of family stress and institutionalization of patients. This study aimed to identify inequalities by gender and socioeconomic status ... -
Demystifying Non-Isolated DC–DC Topologies on Partial Power Processing Architectures
(MDPI, 2022)This paper discusses the possibility of achieving partial power processing with non-isolated DC–DC topologies. To this end, partial power converter architectures are seen as an interesting solution for reducing the power ... -
Deobfuscating leetspeak with deep learning to improve spam filtering
(UNIR - Universidad Internacional de La Rioja, 2023)The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
