Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohammad F. Yakhni"'
Autor:
Mohammad F. Yakhni, Sebastien Cauet, Anas Sakout, Hassan Assoum, Erik Etien, Laurent Rambault, Mohamad Ali, Mohamed El-Gohary
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102961- (2024)
Fault detection are essential in machine condition monitoring to ensure reliable and efficient operations. This article introduces a methodology to achieve this goal, using tacholess method. Techniques such as the Hilbert transform, adaptive observer
Externí odkaz:
https://doaj.org/article/25095123b61c44ecad8266762ca958a5
Autor:
Mohammad F. Yakhni, Houssem Hosni, Sebastien Cauet, Anas Sakout, Erik Etien, Laurent Rambault, Hassan Assoum, Mohamed El-Gohary
Publikováno v:
Machines, Vol 10, Iss 8, p 686 (2022)
The concept of a digital twin is increasingly appearing in industrial applications, including the field of predictive maintenance. A digital twin is a virtual representation of a physical system containing all data available on site. This paper prese
Externí odkaz:
https://doaj.org/article/3f53b1d87ee542e4b5e3d64cc6f5749d
Autor:
Mohammad F. Yakhni, Sebastien Cauet, Anas Sakout, Hassan Assoum, Erik Etien, Laurent Rambault, Mohamed El-Gohary
Publikováno v:
Mechanical Systems and Signal Processing. 184:109737
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7619b416cd8b1d95f18de149e2b16e47
https://doi.org/10.1016/j.ymssp.2022.109737
https://doi.org/10.1016/j.ymssp.2022.109737