Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tarek, Kebabsa"'
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
Early detection and prompt intervention by maintenance engineers to mitigate the impact of breakdowns while enhancing overall operational efficiency remain critical challenges. This study proposes an innovative approach aiming at improving the diagno
Externí odkaz:
https://doaj.org/article/d9e091ce619f4e3a9436776042eb704f
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
This paper introduces an innovative spectral analysis control approach aimed at monitoring and diagnosing machine malfunctions to prevent potential failures. The research was conducted on a critical machine in a major industrial enterprise. The propo
Externí odkaz:
https://doaj.org/article/4a6d471045bb448e895649feac315b51
Autor:
Tarek, Kebabsa1,2 (AUTHOR), Abderrazek, Djebala1 (AUTHOR) djebala_abderrazek@yahoo.fr, Khemissi, Babouri Mohamed1,3 (AUTHOR), Cherif, Djamaa Mohamed1 (AUTHOR), Lilia, Chaabi4 (AUTHOR), Nouredine, Ouelaa1 (AUTHOR)
Publikováno v:
International Journal of Advanced Manufacturing Technology. Aug2020, Vol. 109 Issue 9-12, p2747-2775. 29p.
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 112:2657-2681
The early detection of defects in rotating machines before their severity reaches an intolerable threshold has become the priority of the maintenance crew, hence the need to apply or even adapt new reliable methods that can meet this requirement. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9590c3a0c6f5a77548fd04c83452a7f
https://doi.org/10.1007/s00170-020-06496-z
https://doi.org/10.1007/s00170-020-06496-z
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 103:1681-1699
The analysis of vibratory signals is an important subject in the field of researches on the diagnosis of mechanical breakdowns in rotating machinery. A number of signal processing methods are classified as classical tools, such as statistical analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea5b0a5068f34008507baa13313fa7cb
https://doi.org/10.1007/s00170-019-03652-y
https://doi.org/10.1007/s00170-019-03652-y
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 98:2439-2447
In this study, we present an application on the use of spectral analysis as aid to diagnosis and decision-making before a failure occurs due to a bad monitoring. The work is done on a strategic machine of a largest industrial company. This paper prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884d6d89bad010ee49c739f608acb046
https://doi.org/10.1007/s00170-018-2391-1
https://doi.org/10.1007/s00170-018-2391-1
Autor:
Abderrazek Djebala, Riad Khettabi, Tarek Kebabsa, Mohamed Cherif Djamaa, Nouredine Ouelaa, Jérôme Antoni
Publikováno v:
International Journal of Advanced Manufacturing Technology
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2015, 81 (1-4), pp.537-552. ⟨10.1007/s00170-015-7083-5⟩
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2015, 81 (1-4), pp.537-552. ⟨10.1007/s00170-015-7083-5⟩
International audience; The cyclostationarity method is used in this paper for the diagnosis of a turbo-alternator working in industrial environment for the detection of the defects generated by rolling bearings, journal bearings, and gears. This stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7d3103b9ec9b459f6ec8705be5f313c
https://doi.org/10.1007/s00170-015-7083-5
https://doi.org/10.1007/s00170-015-7083-5
Autor:
Nouredine Ouelaa, Jérôme Antoni, Raid Khettabi, Tarek Kebabsa, Mohamed Cherif Djamaa, Abderrazek Djebala
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783319414676
Lecture Notes in Mechanical Engineering
Lecture Notes in Mechanical Engineering, pp.251-266, 2017
Lecture Notes in Mechanical Engineering
Lecture Notes in Mechanical Engineering, pp.251-266, 2017
In this paper we have used a frequency modulation method for detecting faults in the plain bearings and the gear teeth defects. This method is based mainly on the analysis of some cyclostationarity non-stationary signals. Indeed, a cyclostationary si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::108293c7ba77f495ca073a0f9e806a62
https://doi.org/10.1007/978-3-319-41468-3_20
https://doi.org/10.1007/978-3-319-41468-3_20
