Autor: Tounsi, D - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Vibro-acoustic analysis of laminated double glazing using the force identification method
Autorzy:: Ben Jdidia, M
Akrout, A
Tounsi, D
Fakhfakh, T.
Haddar, M.
Powiązania:: https://bibliotekanauki.pl/articles/949211.pdf
Data publikacji:: 2014
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: fluid-structure interaction
thin-film laminated plate
ICA
excitation force
Kurtosis
Opis:: This paper presents a procedure for identifying wave forms and excitation frequencies of some forces applied on a given complex fluid-structure coupled system by using only its vibro-acoustic response. The considered concept is called the Independent Component Analysis (ICA) which is based on the Blind Source Separation (BSS). In this work, the ICA method is exploited in order to determine the excitation force applied to a thin-film laminated double glazing system enclosing a thin fluid cavity and limited by an elastic joint. The dynamic response of the studied fluid-structure coupled system is determined by finite element discretization and minimization of the homogenized energy functional of the coupled problem. This response will serve as the input for the ICA algorithm in order to extract the applied excitation.
Źródło:: Journal of Theoretical and Applied Mechanics; 2014, 52, 4; 895-904
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Inverse method for a one-stage spur gear diagnosis
Autorzy:: Akrout, A.
Tounsi, D.
Taktak, M.
Abbes, M. S.
Haddar, M.
Powiązania:: https://bibliotekanauki.pl/articles/949292.pdf
Data publikacji:: 2015
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: Independent Component Analysis (ICA)
source identification
gear mechanism
geometrical defects
Opis:: In this paper, a source separation approach based on the Blind Source Separation (BSS) is presented. In fact, the Independent Component Analysis (ICA), which is the main technique of BSS, consists in extracting different source signals from several observed mixtures. This inverse method is very useful in many fields such as telecommunication, signal processing and biomedicine. It is also very attractive for diagnosis of mechanical systems such as rotating machines. Generally, dynamic responses of a given mechanical system (displacements, accelerations and speeds) measured through sensors are used as inputs for the identification of internal defaults. In this study, the ICA concept is applied to the diagnosis of a one-stage gear mechanism in which two types of defects (the eccentricity error and the localized tooth defect)are introduced. The finite element method allows determination of the signals corresponding to the acceleration in some locations of the system, and those signals may be used also in the ICA algorithm. Hence, the vibratory signatures of each defect can be identified by the ICA concept. Thus, a good agreement is obtained by comparing the expected default signatures to those achieved by the developed inverse method.
Źródło:: Journal of Theoretical and Applied Mechanics; 2015, 53, 3; 617-628
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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