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Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN)
(Springer, 2023)
Nowadays, new challenges around increasing production quality and productivity, and decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance ...
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 ...
Effect of the crucible composition on the Inconel 718 vacuum induction melting process efficiency
(Elsevier, 2023)
Nickel-based superalloys are widely employed to manufacture aero-engine turbines due to their high mechanical strength and resistance to corrosion and creep. Vacuum Induction Melting (VIM) is a suitable manufacturing ...
Service design for digital servitization: Facilitating manufacturers' advanced services value proposition design in the context of Industry 4.0
(Elsevier, 2023)
Industry 4.0 provides increasing opportunities for manufacturing companies in servitization, which has led to the emergence of digital servitization. Several single case studies have suggested service design as a means to ...
Dynamic context-aware workflow management architecture for efficient manufacturing: A ROS-based case study
(Elsevier, 2024)
The manufacturing industry of the future requires innovative approaches to optimize operational efficiency and adaptability. Integrating context-awareness into workflow management systems has emerged as a promising avenue ...
How ready is the wind energy industry for the circular economy?
(Elsevier, 2023)
Despite the strong contribution of wind energy for decarbonisation, the readiness of the wind industry for the transition to a sustainable circular economy (CE) is still unclear. To support CE innovation in the wind industry, ...
Characterizing the Backscattered Spectrum of Mie Spheres
(Wiley, 2023)
This study describes both experimentally and theoretically an important hitherto undiscovered feature of the scattering of micron-sized spherical objects when illuminated with highly focused circularly polarized light. ...
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 ...
The combined effect of contact interface size and spin on lubricated traction in rolling-sliding point contacts
(Elsevier, 2023)
Traction in lubricated rolling and sliding contacts plays an important role in the performance of several machine elements. Many of such elements are subject to spin motion, which can affect their performance. Recent studies ...