Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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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 ... -
Tool wear for finishing milling of green thermoplastic-ceramic composites fabricated with pellet AM
(Elsevier, 2024)The wear of milling tools used for finishing green ceramics shaped by pellet additive manufacturing can be challenging. This article aims to evaluate the tool life of a tool, initially dedicated to thermoplastics, when ... -
Towards Human-Scale Competitiveness: Priority Challenges for Triple Helix towards 2030
(MDPI, 2022)The future of regions must be built on human-scale competitiveness based on quality employment, sustainability (climate, digital, and demographic), knowledge and skills, new business projects focused on people, and equality ... -
Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends
(The Wiley Hindawi Partnership, 2017)Industrial Networks (INs) are widespread environments where heterogeneous devices collaborate to control and monitor physical processes. Some of the controlled processes belong to Critical Infrastructures (CIs), and, as ... -
Towards Nearly Zero-Energy Buildings in Cold Rural Mediterranean Zones: The Case of La Rioja (Spain)
(MDPI, 2023)The European Union aims for its existing building stock to be highly energy-efficient and decarbonized by 2050 through long-term renovation strategies so that all residential buildings are nearly zero-energy buildings. The ... -
Towards tailored surface topography on electrospun wound dressings for exudate absorption
(Emerald, 2024)Since electrospinning can generate micro- to nanometre-scale fibres, it is widely used for fabricating wound dressings. Electrospun scaffolds with defined three-dimensional patterns at the mat surface can be efficiently ... -
Towards the automation of the die spotting process: Contact blue pattern decryption
(Elsevier Ltd., 2020)Automotive die spotting is one of the most complex and least standardized processes in the tool making process. A spotting expert identifies local contact areas through a blue-paste pattern and the die/sheet contact is ... -
Transport analysis approach based on big data and text mining analysis from social media
(Elsevier Ltd., 2018)The goal of the study of the paper is to propose a dashboard with dynamic graphics using a qualitatively and quantitatively approach to investigate the tourists’ satisfaction according by ... -
Transport properties of the binary mixtures of the three organic liquids toluene, methanol, and cyclohexane
(AIP Publishing, 2017)We report on the measurements of diffusion (D), thermodiffusion (DT), and Soret (ST) coefficients in binary pairs of the ternary system toluene-methanol-cyclohexane using different instrumental techniques: microgravity ... -
A tribological characterisation of Ti-48Al-2Cr-2Nb and Ti-6Al-4V alloys with dry, flood, and MQL lubricants
(Elsevier, 2023)The development of cutting tools requires the knowledge of tribological phenomena at the tool – workpiece contact area. This knowledge is in dearth particularly for difficult-to-cut alloys like gamma titanium aluminide ... -
U-drawing of Fortiform 1050 third generation steels. Numerical and experimental results
(IOP Publishing Ltd, 2017)Elasto–plastic behavior of the third generation Fortiform 1050 steel has been analysed using cyclic tension–compression tests. At the same time, the pseudo elastic modulus evolution with plastic strain was analysed using ... -
Uncertainty of Temperature Measurements in Dry Orthogonal Cutting of Titanium Alloys
(Elsevier, 2015)Infrared radiation thermometer is used to measure the temperature of tool during dry orthogonal cutting of titanium alloys. The accuracy of measured temperature depends on several parameters such as the experimental set-up, ... -
Uncertainty-aware Robustness Assessment of Industrial Elevator Systems
(ACM, 2022)Industrial elevator systems are commonly used software systems in our daily lives, which operate in uncertain environments such as unpredictable passenger traffic, uncertain passenger attributes and behaviors, and hardware ... -
Uncut chip geometry determination for cutting forces prediction in orthogonal turn-milling operations considering the tool profile and eccentricity
(Elsevier Ltd., 2021)The cutting forces generated in machining are responsible for the tool deflection, part distortion, and features as chatter; therefore, their accurate estimation is fundamental to defining stable and safe working conditions ... -
Understanding Switched-Flux Machines: A MMF-Permeance Model and Magnetic Equivalent Circuit Approach
(IEEE, 2022)Due to their particular structure, switched-flux permanent magnet machines have become a very interesting alternative for many applications. This is why some recent studies have been focused in the understanding of the ... -
Unified Evaluation Framework for Stochastic Algorithms Applied to Remaining Useful Life Prognosis Problems
(MDPI, 2021)A unified evaluation framework for stochastic tools is developed in this paper. Firstly, we provide a set of already existing quantitative and qualitative metrics that rate the relevant aspects of the performance of a ... -
Unraveling the Technology behind the Frontrunner LIC ULTIMO to Serve as a Guideline for Optimum Lithium-Ion Capacitor Design, Assembly, and Characterization
(Wiley, 2021)The fast growth experienced by the field of lithium-ion capacitors (LICs) in the last five years led to tremendous progress in this technology. However, the authors have observed some parallelism with its ultracapacitor ... -
A useful analytical formula to avoid thermal damage in the adaptive control of dry surface grinding
(Elsevier, 2016)An adaptive control is proposed for dry surface grinding to extend the use of the wheel without needing to be dressed, preserving at the same time the surface integrity of the workpiece. The implementation of this adaptive ... -
User behavior shift detection in ambient assisted living environments
(JMIR Publications, 2013)Identifying users' frequent behaviors is considered a key step to achieving real, intelligent environments that support people in their daily lives. These patterns can be used in many different applications. An algorithm ... -
Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data
(IOS Press, 2020)Background: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated. Objective: The objective of the study was to validate predictive models to separately ...
