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Control of interlinking converters for hybrid AC/DC power systems
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
Electrical power plays a very important role in today’s society, but the necessity to reduce the greenhouse gas emissions requires to shift the classical fossil fuel-based power generation towards a renewable based model. ...
Experimental characterization of the Ayanz vertical axis windmill in mini wind applications and contributions in the simplification of the associated electronicsCaracterización experimental del molino de viento de Ayanz de eje vertical en aplicaciones de mini eólica y aportaciones en la simplificación de la electrónica asociada
(Dyna, 2023)
Within the current energy revolution, wind energy is playing an increasing role. However, small-scale generation technologies, such as mini-wind turbines, are less developed.
In this paper, firstly, the feasibility of the ...
Design and characterization of a novel lightweight multicomponent alloy Al58Zn28Mg6Si8
(Elsevier, 2023)
This paper presents a novel multicomponent alloy Al58Zn28Mg6Si8, with a density of 3.46 g/cm3, which incorporates concepts from high entropy alloys. The optimum alloy composition was determined using the CALPHAD approach ...
A comparison between continuous and hairpin windings for electric traction drives
(IEEE, 2023)
Present change in mobility to vehicle electrification involves highly exigent requirements on product performance and production technologies. In the manufacturing of electric machines, the stator winding is the most ...
PLC orchestration automation to enhance human-machine integration in adaptive manufacturing systems
(Elsevier, 2023)
Current approaches to manufacturing must evolve to respond to increasing demands for short product life cycles and customised products. Adaptive manufacturing systems integrate advanced technologies, automation, and ...
An Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project
(MDPI, 2023)
Stress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This ...
Development of a new set of Heuristics for the evaluation of Human-Robot Interaction in industrial settings: Heuristics Robots Experience (HEUROBOX)
(Frontiers, 2023)
Humans and robots will increasingly have to work together in the new industrial context. Therefore, it is necessary to improve the User Experience, Technology Acceptance, and overall wellbeing to achieve a smoother and ...
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 ...
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 ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Teaching Model-Based Systems Engineering with MATLAB & Simulink for Smart Energy Systems
(2023)
Developing complex and smart energy systems is a challenge for today's industry. Systems are developed consisting of power hardware, control and communication hardware, and software of all kinds with more and more connectivity. ...
Analyzing Inter-Vehicle Collision Predictions during Emergency Braking with Automated Vehicles
(IEEE, 2023)
Automated Vehicles (AVs) require sensing and perception to integrate data from multiple sources, such as cameras, lidars, and radars, to operate safely and efficiently. Collaborative sensing through wireless vehicular ...
Exploring a Methodological Approach to Assessing the Potential Impact of the Implementation of Circular Economy Strategies on Regional Economies Through Environmentally Extended Input-Output Tables
(DIIM, FTS, University of Novi Sad, 2023)
This article is part of a research stream that aims to evaluate the impact of circular economy policies on greenhouse gas (GHG) emission reduction and the industrial structure of specific regions. Building upon previous ...
Phase-shifted imaging on multi-directional induction thermography
(Springer Nature, 2023)
A novel multi-directional eddy current thermography (ECT) system is presented generating sets of directional phase images that have been fused with a processing pipeline allowing for an improved probability of detection ...
Sensitivity Analysis of the Design Parameters of Permanent Magnet Synchronous Motors for Vibration Reduction
(MDPI, 2023)
The use of electric motors, and particularly, Permanent Magnet Synchronous Motors, is increasing in recent years, and their vibration response is one of the most crucial aspects regarding their behaviour. Thus, the reduction ...
PEM motako erregai-pilen zenbakizko analisia eta balioztatze esperimentala
(Udako Euskal Unibertsitatea (UEU), 2023)
Gaur egungo aldaketa klimatikoa dela medio, energia elektrikoa lortzeko alternatiba berri ugari sortzen ari dira. Horien artean erregai-pilek abantaila suposatzen dute hainbat esparrutan. Ikerketa honetan gaur egun garapen ...
Mapping human factors in virtual reality: VRUXMapeo de los factores humanos relacionados con la realidad virtual: VRUX
(AEIPRO, 2023)
Industry 5.0 addresses the technocentric limitations of Industry 4.0 and opts for a more humancentred industry. This affects the different technologies that are already being implemented in manufacturing such as exoskeletons, ...
Aumento de la precisión de posicionado de células robóticas en aplicaciones de mecanizado
(2023)
En las últimas décadas han incrementado las aplicaciones de los robots industriales aumentando también la demanda en la precisión de posicionado. Sin embargo, los robots industriales se caracterizan por ser muy repetitivos ...
Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...