Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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The contribution of microstructure and friction in broaching Ferrite–Pearlite steels
(Elsevier Ltd., 2020)Ferrite-Pearlite (FP) steels are used in many automotive components. However, their machinability in low cutting speed processes appears to be highly dependent on their metallurgical state. An experimental approach combining ... -
Control of PWM rectifier under grid voltage dips
(PAN, 2009)This paper investigates control structure for grid connected three-phase two-level Voltage Source Converter (VSC) under distorted grid voltage conditions. Grid voltage is distorted by balanced and unbalanced voltage dips ... -
A Controlled Thermoalgesic Stimulation Device for Exploring Novel Pain Perception Biomarkers
(IEEE, 2021)Objective: To develop a new device for identifying physiological markers of pain perception by reading the brain's electrical activity and hemodynamic interactions while applying thermoalgesic stimulation. Methods: We ... -
Cost-effectiveness and budget impact analyses of a colorectal cancer screening programme in a high adenoma prevalence scenario using MISCAN-Colon microsimulation model
(BMC BioMed Central Ltd (Part of Springer Nature), 2018)This economic evaluation showed a screening intervention with a major health gain that also produced net savings when a long follow-up was used to capture the late economic benefit. The number of colonoscopies required was ... -
A coupled 3D wear and fatigue numerical procedure: Application to fretting problems in ultra-high strength steel wires
(Elsevier Ltd., 2021)This work presents a coupled 3D wear and fatigue numerical procedure for fretting problems in ultra-high strength steel wires that combines Archard’s wear equation with the Smith–Watson–Topper parameter to predict crack ... -
Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data
(MDPI, 2023)Creating SoC algorithms for Li-ion batteries based on neural networks requires a large amount of training data, since it is necessary to test the batteries under different conditions so that the algorithm learns the ... -
Creating New Knowledge while Solving a Relevant Practical Problem: Success Factors for an Action Research-Based PhD Thesis in Business and Management
(Springer, 2023)This paper focuses on university–firm relationships in terms of individual interactions between researchers and practitioners. More specifically, we focus on an analysis of the main factors that influence the use of the ... -
Crystal-plasticity-finite-element modeling of the dynamic response of a directionally solidified nickel-based superalloy
(2020)The flow stress behaviour of a directionally solidified nickel-base superalloy,MAR-M247, is presented through the combination of experiments and crystal-plasticity simulations.The experimental campaign ... -
Current References Limitation Method Considering Voltage and Current Maximums for STATCOMs Providing Simultaneously Reactive Power and Current Harmonics
(IEEE, 2022)This article focuses the analysis on a static synchronous compensator (STATCOM) that operates simultaneously providing reactive power and several current harmonics of different frequencies (active power filter or active ... -
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-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 ... -
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-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 ...
