Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Nazzal Salem"'
Publikováno v:
Annals of the Oradea University: Fascicle Management and Technological Engineering, Vol Volume XXVII (XVII), 2018/2, Iss 2 (2018)
Externí odkaz:
https://doaj.org/article/1a25fca46a6d418eb2d3b53f2294efd7
Publikováno v:
Annals of the Oradea University: Fascicle Management and Technological Engineering, Vol Volume XXVII (XVII), 2018/2, Iss 2 (2018)
Externí odkaz:
https://doaj.org/article/7517e7428084429aac2a342e44479588
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1169:012012
The present study uses an estimation and prediction method and characteristic techniques to predict the life of the lubricating oil based on data collected directly from the mechanical or hydraulic system. The collected data is part of a complex data
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 898:012028
This paper aimed to validate a working tool, component of the Predictive Maintenance Toolbox ™, produced by Matlab (MathWorks), in the case of a procedure for monitoring the operation of mechanical systems, in order to diagnose a failure of the pro
Publikováno v:
MATEC Web of Conferences, Vol 184, p 03009 (2018)
This paper addresses a delicate problem, namely the diagnosis of the state of the oils in the industrial systems, namely the machine tools. Based on measurements (the data set contains over five million records), within a Machine Intelligence for Dia
Autor:
Nazzal Salem, Gavril Grebenişan
Publikováno v:
MATEC Web of Conferences, Vol 126, p 03003 (2017)
In the industrial practice, the product is intended to be flawless, with no technological difficulty in making the profile shapes. If this product results without defects, then any Finite Elements Method (FEM) based simulation can support that techno
Autor:
Nazzal Salem
Publikováno v:
DAAAM International Scientific Book 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb7c5ad89a339ac4dcc62cb2ae9e5955
https://doi.org/10.2507/daaam.scibook.2017.24
https://doi.org/10.2507/daaam.scibook.2017.24
Autor:
Nazzal Salem, Gavril Grebenişan
Publikováno v:
DAAAM International Scientific Book 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60b57222bc94d418748193efb6358d2d
https://doi.org/10.2507/daaam.scibook.2017.23
https://doi.org/10.2507/daaam.scibook.2017.23
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 568:012079
In this paper was used the data set collected in a research project between private companies from Romania and Italy, for the development of a basic approach of artificial neural network techniques, as an application in Matlab, aiming to detect the d