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Opportunities and incentives for Remanufacturing in the Basque Country
(Elsevier B.V., 2018)
Remanufacturing is a business model that helps the development of the circular economy. There are numerous successful examples of remanufactured products in different industrial sectors of Europe and US. Obtaining the ...
A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
(PLOS, 2018)
Repositioning of the maxilla in orthognathic surgery is carried out for functional and aesthetic
purposes. Pre-surgical planning tools can predict 3D facial appearance by computing the
response of the soft tissue to the ...
Thermodiffusion in multicomponent n-alkane mixtures
(Nature Research (Part of Springer Nature), 2017)
Compositional grading within a mixture has a strong impact on the evaluation of the pre-exploitation distribution of hydrocarbons in underground layers and sediments. Thermodiffusion, which leads to a partial diffusive ...
A Coupled Eulerian Lagrangian Model to Predict Fundamental Process Variables and Wear Rate on Ferrite-pearlite Steels
(Elsevier B.V., 2017)
A coupled Eulerian-Lagrangian Finite Element model of the orthogonal cutting process was developed to predict the influence that ferritepearlite steel variants have on fundamental process variables and tool wear. As a case ...
Providing Proactiveness: Data Analysis Techniques Portfolios
(River Publishers, 2018)
A Review in Fault Diagnosis and Health Assessment for Railway Traction Drives
(MDPI AG, 2018)
During the last decade, due to the increasing importance of reliability and availability, railway industry is making greater use of fault diagnosis approaches for early fault detection, as well as Condition-based maintenance ...
A Requirement Engineering Framework for Electric Motors Development
(MDPI AG, 2018)
The applications using electric motors have increased in the last decade. Some of these applications encounter the need for tailor-made motors that must meet demanding requirements. Therefore, the specification stage of ...
Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control
(MDPI AG, 2019)
This paper introduces a novel data driven yaw control algorithm synthesis method based on Reinforcement Learning (RL) for a variable pitch variable speed wind turbine. Yaw control has not been extendedly studied in the ...
From KPI Dashboards to Advanced Visualization
(River Publishers, 2018)
The MANTIS Reference Architecture
(River Publishers, 2018)