Zobrazeno 1 - 10 of 25 pro vyhledávání: '"Ahmed Felkaoui"'
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Akademický článek
Reliability based robust design optimization based on sensitivity and elasticity factors analysis
Autor: Naoual KARAR, Ahmed FELKAOUI, Farhat DJEDDOU
Publikováno v: Journal of Materials and Engineering Structures, Vol 7, Iss 1, Pp 97-111 (2020)
In this paper, a Reliability Based Robust Design Optimization (RBRDO) based on sensitivity and elasticity factors analysis is presented. In the first step, a reliability assessment is performed using the First-and Second Order Reliability Method (FOR
Externí odkaz: https://doaj.org/article/a5ba9a3e58c84228b2be0b46dbddd121
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2
Applications of Ceemdan in Dynamic Behavior of Defected Spur Gearbox Running Under Acyclism Regime
Autor: A. Hmida, Mohamed Taoufik Khabou, A. Hammami, Ahmed Felkaoui, Mohamed Haddar, Fakher Chaari
Publikováno v: Journal of Mechanics. 36:825-839
Empirical Mode Decomposition (EMD) and its approaches are powerful techniques in signal processing especially for the diagnosis of rotating machinery running in non-stationary regime. We are interested in this paper to the dynamic behavior of a defec
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc7db4bf493d19ef29722cebe23d4587
https://doi.org/10.1017/jmech.2020.19
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3
Gear fault diagnosis under non-stationary operating mode based on EMD, TKEO, and Shock Detector
Autor: Fakher Chaari, Ahmed Hammami, Ahmed Felkaoui, Ridha Ziani, Mohamed Haddar
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
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4
Empirical wavelet decomposition and BFindex for early detection of bearing defects
Autor: Amine Mezaghcha, Ridha Ziani, Ahmed Felkaoui
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
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6
Méthode de réduction de dimension des indicateurs de défaut par méta-analyse
Autor: Hamouche Khalil, Lanto Rasolofondraibe, Ahmed Felkaoui, Xavier CHIEMENTIN
Publikováno v: International Conference of Mechanics and Matterials (ICMM)
International Conference of Mechanics and Matterials (ICMM), 2019, Sétif, Algérie
HAL
International audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0934915cb095760bf0d593e0a85bd5ea
https://hal.archives-ouvertes.fr/hal-03006536
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7
Elektronická kniha
Rotating Machinery and Signal Processing : Proceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, SIGPROMD’2017, April 09-11, 2017, Setif, Algeria
Autor: Ahmed Felkaoui, Fakher Chaari, Mohamed Haddar
This book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Pro
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8
L-Kurtosis and Improved Complete Ensemble EMD in Early Fault Detection Under Variable Load and Speed
Autor: Hafida Mahgoun, Fakher Chaari, Ahmed Felkaoui, Mohamed Haddar
Publikováno v: Applied Condition Monitoring ISBN: 9783319946153
In this work, we propose to follow the progression of different gearbox defects under the effect of variable load and speed. The non-stationary vibration signals are obtained by using a physical model of a spur gear transmission. In order to detect t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2328259d570caccffe8f20771bb76486
https://doi.org/10.1007/978-3-319-94616-0_1
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9
Comparison Between Hidden Markov Models and Artificial Neural Networks in the Classification of Bearing Defects
Autor: Miloud Sedira, Ahmed Felkaoui, Ridha Ziani
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
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10
Effect of Input Data on the Neural Networks Performance Applied in Bearing Fault Diagnosis
Autor: Ahmed Felkaoui, Hocine Fenineche, Ali Rezig
Publikováno v: Applied Condition Monitoring ISBN: 9783319961804
The aim of this paper is to study the effect of input parameters choice of the artificial neural network (ANN), in order to obtain the best performances of fault classification. The purpose of this network is to automate the electric motor bearing di
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04c37474090f98b58a4352832c5a4f72
https://doi.org/10.1007/978-3-319-96181-1_3
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