Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ridha Ziani"'
Publikováno v:
Comptes Rendus Mécanique. 347:663-675
Condition monitoring of gearboxes running under non-stationary operating conditions is a very difficult task. In this study, a signal processing technique is developed for damage detection of a bevel gearbox running under variable load and speed cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff66b5d767141196d64fa6a7b47c828
https://doi.org/10.1016/j.crme.2019.08.003
https://doi.org/10.1016/j.crme.2019.08.003
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. :1748006X2211147
In this paper, a signal processing scheme is developed for early detection of bearing defects .This scheme combines Empirical Wavelet Decomposition (EWD) technique and Frequency Weighted Energy Operator (FWEO). EWD employs an adaptive process that is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72dccc41c8e43de8c4c76b45ed01d3ef
https://doi.org/10.1177/1748006x221114740
https://doi.org/10.1177/1748006x221114740
Autor:
Hafida Mahgoun, Ridha Ziani
Publikováno v:
Applied Condition Monitoring ISBN: 9783319961804
The ensemble empirical mode decomposition (EEMD) was largely used in the diagnosis of the rotating machines but the EEMD shows a limitation with the detection of the impulses that are influenced by the presence of noise, the mode mixing, and the end
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4e7f429da80c28cdf3905d2f3abd6d7
https://doi.org/10.1007/978-3-319-96181-1_4
https://doi.org/10.1007/978-3-319-96181-1_4
Publikováno v:
Applied Condition Monitoring ISBN: 9783319961804
In this paper a comparative study between two classification methods was presented, the first one belongs to the statistical domain in this case the Hidden Markov Models (HMM), the second is an Artificial Intelligence (AI) tool known as of Artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59d25a35aea15163a350b87912763f2a
https://doi.org/10.1007/978-3-319-96181-1_6
https://doi.org/10.1007/978-3-319-96181-1_6
Publikováno v:
Journal of Intelligent Manufacturing. 28:405-417
Condition monitoring of rotating machinery has attracted more and more attention in recent years in order to reduce the unnecessary breakdowns of components such as bearings and gears which suffer frequently from failures. Vibration based approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::395e276280ea2ef82c6793b23778d492
https://doi.org/10.1007/s10845-014-0987-3
https://doi.org/10.1007/s10845-014-0987-3
Publikováno v:
Condition Monitoring of Machinery in Non-Stationary Operations ISBN: 9783642287671
Condition monitoring of rolling element bearings through the use of vibration analysis is an established technique for detecting early stages of component degradation. This study is presented to compare the performance of bearing fault detection usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c74d6ce82d771bc457c5d6423aaa55d
https://doi.org/10.1007/978-3-642-28768-8_10
https://doi.org/10.1007/978-3-642-28768-8_10
Autor:
Alan Gibbons, Ridha Ziani
Publikováno v:
Information Processing Letters. 37:101-109
We show how the balnced binary tree technique can be effectively utilised (to solve problems of size n and implying a balanced binary tree xith n leaves) on a square mesh of n processing elements.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c57a039e36f4999a3cd5e9307a7648b9
https://doi.org/10.1016/0020-0190(91)90142-5
https://doi.org/10.1016/0020-0190(91)90142-5