Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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Power Capability Boundaries for an Inverter Providing Multiple Grid Support Services
(MDPI AG, 2020)It is getting more common every day to install inverters that o er several grid support services in parallel. As these services are provided, a simultaneous need arises to know the combined limit of the inverter for those ... -
Power-Electronic-Based DC Distribution Systems for Electrically Propelled Vessels: A multivariable Modeling Approach for Design and Analysis
(IEEE, 2017)The benefits of using power-electronic-based dc distribution systems in electrically propelled vessels are well known. However, some aspects must be deeply analyzed to guarantee a safe, robust, and stable system by design. ... -
Predicting Hospital Ward Admission from the Emergency Department: A Systematic Review
(MDPI, 2023)Background: The emergency department (ED) is often overburdened, due to the high influx of patients and limited availability of attending physicians. This situation highlights the need for improvement in the management of, ... -
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
(Elsevier, 2023)The main objective of the present paper is to demonstrate the feasibility of machine-learning-based surrogate models for predicting low-velocity impact behaviour considering void content and location generated during the ... -
Prediction of Surface Roughness of SLM Built Parts after Finishing Processes Using an Artificial Neural Network
(MDPI, 2022)A known problem of additive manufactured parts is their poor surface quality, which influences product performance. There are different surface treatments to improve surface quality: blasting is commonly employed to improve ... -
Preliminary Study on the Capability of the Novel Near Solidus Forming (NSF) Technology to Manufacture Complex Steel Components
(MDPI AG, 2020)The benefits of the novel Near Solidus Forming (NSF) process has shown previously in its ability to produce steel components with comparable as-forged mechanical properties but with a cost reduction of 10–15%. This study ... -
A Preliminary Study on the Quality of Joining AISI 316 and AISI 3415 Steel by the Near Solidus Forming Process
(MDPI, 2023)In this study, the Near Solidus Forming (NSF) process, which falls under the umbrella of semi-solid processes, was utilized to coforge an AISI 316 tube and an AISI 3415 rod into an as-forged valve geometry. The billet used ... -
Press hardening of alternative materials: conventional high- strength steels
(Springer Nature, 2017)he increase in strength of new high strength steels(HHS) and advanced high strength steels (AHHS) has led toforming issues, such as high springback, low formability, increase of forming forces and tool wear. These problems ... -
Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants
(Elsevier, 2024)The increased penetration of renewable energy sources (RESs) as an effective mechanism to reduce carbon emissions leads to an increased weather dependency for power and energy systems. This has created dynamic operation ... -
Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study
(Elsevier Ltd., 2022)The energy transition towards resilient and sustainable power plants requires moving from periodic health assessment to condition-based lifetime planning, which in turn, creates new challenges and opportunities for health ... -
Procedure to predict residual stress pattern in spray transfer multipass welding
(Springer, 2015)Gas metal arc welding (GMAW) is one of the most used joining method in the industry. However, one of the main problems of this process is the generation of residual stresses which have direct impact on the fatigue life of ... -
Project-based collaborative engineering learning to develop Industry 4.0 skills within a PLM framework
(Elsevier B.V., 2017)Training and learning methods for engineering students, in the disciplines of product design and manufacturing, are becoming more difficult and complex since they have to integrate theoretical technical knowledge, skills ... -
A proper orthogonal decomposition analysis upon aerodynamic structures under clean and rough conditions
(AIP Publishing, 2023)A transitional flow regime is known to induce complex flow structures upon aerodynamic geometries such as airfoils, and the dynamics of laminar separation bubbles (LSBs) pose a relevant research field. In addition to being ... -
Quasi-static and dynamic crush behaviour of 3D printed thin-walled profiles reinforced with continuous carbon and glass fibres
(Elsevier, 2021)The present paper investigates the suitability of cFF printed material and technologies for crashworthiness applications. To this end, the quasi-static and dynamic crush behaviour of 3D printed thin-walled hollow profiles ... -
Radiant waste heat recovery from steelmaking and glass industry
(Edp Sciences, 2019)This paper tackles the problem of industrial waste heat recovery through an unexploited heat transfer mechanism: thermal radiation. Energy intensive industries have a considerable potential of unused radiant heat, which ... -
Reactive control of wave energy devices – the modelling paradox
(Elsevier Ltd., 2021)The implementation of energy maximising control systems (EMCSs) in wave energy converter (WEC) devices is an important step towards commercially viable operation of WECs. During the design stage of such EMCSs, linear ... -
Reactive power limits of Cascaded H-Bridge STATCOMs in star and delta configuration under negative-sequence current withstanding
(Elsevier Ltd., 2022)Flexible AC Transmission System devices (FATCS) and in particular Static Synchronous Compensators (STATCOM) play a key role in the evolution of the modern power grids to the future smart grids. The STATCOM is used in an ... -
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
(MDPI, 2023)Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ... -
Reduction of distortions in large aluminium parts by controlling machining-induced residual stresses
(Springer, 2018)Large aluminium monolithic parts used in the aeronautic industry frequently show significant geometric distortions after the machining process. These distortions are the consequence of the initial residual stresses of the ... -
Reflection through Diffraction: Interdisciplinarity in Energy Science
(Addleton Academic Publishers, 2022)To address the complexities associated with transitioning towards sustainable energy solutions, there are increasing demands to employ interdisciplinary approaches. However, these still represent a minority of research ...
