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Inverse method for a one-stage spur gear diagnosis

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
617--628
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
autor
  • Mechanics, Modelling and Production Research Laboratory (LA2MP), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory (LA2MP), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory (LA2MP), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory (LA2MP), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia
autor
  • Mechanics, Modelling and Production Research Laboratory (LA2MP), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia
Bibliografia
  • 1. Abbès M.S., Miladi Chaabane M., Akrout A., Fakhfakh T., Haddar M., 2011, Vibratory behavior of a double panel system by the operational modal analysis, International Journal of Modeling, Simulation and Scientific Computing, 2, 4, 459-479
  • 2. Akrout A., Miladi Chaabane M., Hammami L., Haddar M., 2012, Edge stiffness effects on laminated double glazing system dynamical behaviour by the operational modal analysis, Journal of Mechanics of Materials and Structures, 7, 8/9, 837-859
  • 3. Akrout A., Tounsi D., Taktak M., Abbes M.S., Haddar M., 2012, Estimation of dynamic system’s excitation forces by the independent components analysis, International Journal of Applied Mechanics, 4, 3
  • 4. Antoni J., Garibaldi L.,Marchesiello S., Sidahmed M., 2004, New separation techniques for output-only modal analysis, Shock and Vibration, 11, 227-242
  • 5. Antoni J., 2005, Blind separation of vibration components: principles and demonstration, Mechanical Systems and Signal Processing, 19, 1166-1180
  • 6. Antoni J., Braun S., 2005, Special issue on blind source separation: editorial, Mechanical Systems and Signal Processing, 19, 1163-1165
  • 7. Chaari F., Baccar W., Abbès M.S., Haddar M., 2008,Effect of spelling or tooth breakage on gearmesh stiffness and dynamic response of a one-stage spur gear transmission, European Journal of Mechanics A/Solids, 27, 691-705
  • 8. Chaari F., Fakhfakh T., Haddar M., 2009, Analytical modelling of spur gear tooth crack and influence on gearmesh stiffness, European Journal of Mechanics A/Solids, 28, 461-468
  • 9. Comon P., 1990, Separation of sources using higher-order cumulants, Actes Advanced Algorithms and Architectures for Signal Processing IV, San Diego, Californie, 1152, 170-181
  • 10. Comon P., 1994, Independent component analysis: a new concept? Signal Processing, 36, 287-314
  • 11. Gaeta M., Lacoume J.L., 1990, Maximum Likelihood Estimators Applied to the Non Gaussian Source Separation, Saint-Martin-d’Heres, France
  • 12. Hidaka T., Terauchi Y., Dohi K., 1979, On the relation between the run out errors and the motion of the center of sun gear in a Stoeckicht planetary gear, Bulletin of JSME, 22, 167, 748-754
  • 13. Hyvärinen A., Oja E., 2000, Independent component analysis: algorithms and applications, Neural Networks, 13, 3/5, 411-430
  • 14. Kerschen G., Poncelet F., Golinval J.C., 2007, Physical interpretation of independent component analysis in structural dynamics, Mechanical Systems and Signal Processing, 21, 1561-1575
  • 15. Munro R., 1967, Gear transmission error, AGMA Paper, 239, 10
  • 16. Poncelet F., Kerschen G., Golinval J.C., Verhelst D., 2007, Output-only modal analysis using blind source separation techniques, Mechanical Systems and Signal Processing, 21, 2335-2358
  • 17. Servière C., Fabry P., 2004, Blind source separation of noisy harmonic signals for rotating machine diagnosis, Journal of Sound and Vibration, 272, 317-339
  • 18. Shalvi O., Weinstein E., 1990, New criteria for blind deconvolution of non-minimum phase systems (channels), IEEE Transactions Information Theory, 36, 2, 312-321
  • 19. Taktak M., Tounsi D., Akrout A., Abb`es M.S., Haddar M., 2012, One stage spur gear transmission crankcase diagnosis using the independent components method, International Journal of Vehicle Noise and Vibration, 8, 4, 387-400
  • 20. Thi H.L.N., Jutten C., 1995, Blind source separation for convolutive mixtures, Signal Processing, 45, 209-229
  • 21. Thirion-Moreau N., Moreau E., 2000, New criteria for blind signal separation, IEEE Workshop on Statistical Signal and Array Processing, 344-348
  • 22. Tong L., Liu R.W., Soon V.C., Huang Y.F., 1991, Indeterminacy and identifiability of blind identification, IEEE Transactions on Circuits and Systems, 38, 499-509
  • 23. Wajag P., Kahraman A., 2002, Influence of tooth profile modification on helical gear durability, ASME Transactions, Journal of Mechanical Design, 124, 501-510
  • 24. Wiggins R.A., 1978, Minimum entropy deconvolution, Geoexploration, 16, 21-35
  • 25. Zang C., Friswel M.I., Imregun M., 2004, Structural damage detection using independent component analysis, Structural Health Monitoring, 3, 1, 69-83
  • 26. Zarzoso V., Comon P., 2010, Robust independent component analysis by iterative maximization of the Kurtosis contrast with algebraic optimal step size, IEEE Transactions on Neural Networks, 21, 2
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fc14ae4f-8916-43a4-9cb8-43d9ecd993ca
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