Zerrendatu honen arabera: izenburua
4871-tik 3242-3261 emaitza erakusten
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Mendi irteera ederraz gozatu zuten MONDRAGON UNIBERTSITATEko ikasleek, larunbatean
(Mondragon Unibertsitatea, 2016-05-16)Ura eta energia landuz ibili ziren hainbat ikasle Oñatiko mendi ingurunean. -
Mendi irteera egin genuen Arantzazu ingurura
(Mondragon Unibertsitatea, 2017-11-27)Larunbaten Mondragon Unibertsitateko mendi irteera izan genuen. -
Mendi lasterketen inguruan solastu dira
(Mondragon Unibertsitatea, 2012-03-13)Oihana Kortazar eta Kepa Larreak ikusleek egindako galderei erantzun die. -
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ... -
Metal cutting experiments and modelling for improved determination of chip/tool contact temperature by infrared thermography
(Elsevier Ltd, 2015)Temperature measurement in metal cutting at the chip and work contact is of central importance due to temperature dependence of tool wear and surface integrity. Infrared thermography is commonly employed to determine the ... -
Metamorphic Testing of Autonomous Vehicles: a Case Study on Simulink
(2021)Autonomous Vehicles (AVs) will revolutionize the way people travel by car. However, in order to deploy autonomous vehicles, effective testing techniques are required. The driving quality of an AV should definitely be ... -
METCAko 2009ko Promozioko Diplomak banatu dira.
(Mondragon Unibertsitatea, 2010-03-23) -
A methodology and experimental implementation for industrial robot health assessment via torque signature analysis
(MDPI AG, 2020)This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ... -
Methodology and toolset for testing highly reconfigurable programmable logic controllers
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)The manufacturing industry has entered a new era of highly changeable customer requirements and tailor-made products. To meet market demands, manufacturing systems need to be redefined to be able to cost-effectively produce ... -
A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images
(MDPI, 2024)In industrial quality control, especially in the field of manufacturing defect detection, deep learning plays an increasingly critical role. However, the efficacy of these advanced models is often hindered by their need ... -
Methodology for assessing the in-service behaviour of glass plates considering the effect of residual stresses
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)The structural performance of glass mainly depends on the surface quality and the residual stress state. Surface damage produced during the manufacturing process or subsequent handling, might lead to the presence of ... -
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
(Taylor and Francis, 2022)The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ... -
A methodology for designing layered ontology structures
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa., 2019-11)Semantic ontologies represent the knowledge from different domains, which is used as a knowledge base by intelligent agents. The creation of ontologies by different developers leads to heterogeneous ontologies, which hampers ... -
A methodology for model-based verification of safety contracts and performance requirements
(SAGE, 2018)The verification of safety requirements becomes crucial in critical systems where human lives depend on their correct functioning. Formal methods have often been advocated as necessary to ensure the reliability of software ... -
A methodology for performance assessment at system level—Identification of operating regimes and anomaly detection in wind turbines
(Elsevier, 2023)In the growing wind energy sector, as in other high investment sectors, the need to make assets profitable has put the spotlight on maintenance. Efficient solutions which leverage from condition or performance based ... -
Methodology for the Accelerated Reliability Analysis and Prognosis of Underground Cables based on FPGA
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa., 2019-11)Dependable electrical power distribution systems demand high reliability levels that cause increased maintenance costs to the utilities. Often, the extra costs are the result of unnecessary maintenance procedures, which ... -
Methodology for thermal modelling of lithium-ion batteries
(IEEE, 2013)Temperature is a determinant parameter in terms of performance, lifespan and safety working with li-ion batteries. Working above 45°C, in hot climates, has direct influence in the cycle life of the battery and can cause a ... -
Methodology to Study Demagnetization Risk in Permanent Magnet Machines by Finite Element Method
(IEEE, 2017)Nowadays the majority of applications are demanding more and more compact, cost effective and robust solutions for their electric drives. In this context permanent magnet synchronous machines are considered as a good ... -
Metodología DBZ-MU : Metodología de innovación centrada en las personas del Centro de Innovación en Diseño (DBZ) de Mondragon Unibertsitatea
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2014) -
Metodología de aplicación de la optimización para el aumento de la eficiencia energética en las redes de distribución de baja tensión
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2011)Energy Efficiency (EE) in the electricity sector is a top priority in the international agenda in order to reduce energy consumption and address climate change. The application of optimization tools in this sector may ...
