Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jon Olaizola"'
Autor:
Sarah Barber, Unai Izagirre, Oscar Serradilla, Jon Olaizola, Ekhi Zugasti, Jose Ignacio Aizpurua, Ali Eftekhari Milani, Frank Sehnke, Yoshiaki Sakagami, Charles Henderson
Publikováno v:
Energies, Vol 16, Iss 8, p 3567 (2023)
In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is one of the key drivers for re
Externí odkaz:
https://doaj.org/article/d6d191a0e3674cac9897ab3b94aeb524
Autor:
Jon Olaizola, Christos-Savvas Bouganis, Aitzol Iturrospe, Eneko Sáenz de Argandoña, José Manuel Abete
Publikováno v:
IEEE Transactions on Industrial Electronics. 67:4088-4097
The ability to monitor the quality of the metal forming process as well as the machine's condition is of significant importance in modern industrial processes. In the case where a physical device (i.e., sensor) cannot be deployed due to the character
Autor:
Javier Fernandez-Anakabe, Mikel Anasagasti, Jon Olaizola, Felix Larrinaga, Iñaki Garitano, Urko Zurutuza, Ekhi Zugasti, Mikel Mondragon
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 233:1361-1375
This article presents the implementation of a reference architecture for cyber-physical systems to support condition-based maintenance of industrial assets. It also focuses on describing the data analysis approach to manage predictive maintenance of
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 967:012015
Process stability and facility security are the two main purposes for measuring the force in sheet metal forming facilities. These two purposes look for guaranteeing the good health of the facility avoiding overloads and at the same time look for var
Publikováno v:
EUSIPCO
Partial discharge (PD) detection plays a fundamental role in monitoring the health of medium voltage (MV) systems. This paper presents a method for PD detection and source recognition in MV sub-stations based on a combination of signal processing tec