Bilatu
39-tik 21-30 emaitza erakusten
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 ...