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Artículo
Digital twins in condition-based maintenance apps: A case study for train axle bearings
(Elsevier, 2023-10)
Digital Twins (DTs) are gaining popularity in the context of the fourth industrial revolution to replicate physical equipment and systems in the digital world. DTs promise increased productivity and sustainable performance ...
Ponencia
A comparison of machine learning techniques for LNG pumps fault prediction in regasification plants
(Elsevier B.V., 2020)
We present a comparative study on the most popular machine learning methods applied to the challenging problem of Liquefied Natural Gas pumps fault prediction in regasification plants. The proposed solution tries to address ...
Tesis Doctoral
Diseño de soluciones avanzadas basadas en técnicas de machine learning para la toma de decisiones en gestión de activos
(2022-06-10)
En la actualidad, el cambio hacia una gestión inteligente del mantenimiento de los activos está siendo un gran reto, llegando a ser uno de los objetivos principales para todas las empresas que siguen el camino de la ...
Ponencia
A new model to compare intelligent asset management platforms (IAMP)
(Elsevier B.V., 2020)
Nowadays, no business activity escapes the fourth industrial revolution, called industry 4.0, which is characterized by digitalization of processes. The possibility of simultaneously having systems with greater ...
Artículo
Integrating complex asset health modelling techniques with continuous time simulation modelling: A practical tool for maintenance and capital investments analysis
(Elsevier B.V., 2021)
An Asset Health Index (AHI) is a tool that processes data about asset’s condition. That index is intended to explore if alterations can be generated in the health of the asset along its life cycle. These data can be ...