Feature extraction using indicators of cyclostationarity for a mechanical diagnosis purpose

• Autorzy: Raad A. , Antoni J. , Sidahmed M.
• Języki publikacji: EN

Abstrakty

EN

This paper focuses on features extraction based on cyclostationarity for diagnosis purpose. The objective is to derive new indicators for the diagnosis of rotating machinery. These indicators are based on cyclic higher order statistics and generalize some existing ones for the second order statistics. A comprehensive methodology is proposed for obtaining a diagnosis objective; a crucial example is presented, relating to vibration signals of a gearbox. Results demonstrate the effectiveness of these features to detect spalling in gearbox.

Słowa kluczowe

EN

feature extraction; mechanical diagnosis; cyclostationarity

PL

wybór cech; mechanika

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2005
• Tom: Vol. 12, No. 2-3
• Strony: 223--230
• Opis fizyczny: Bibliogr.18 poz., tab., wykr.

Twórcy

autor

Raad A.

• Université de Technologie de Compiégne, Laboratoire Roberval, UMR CNRS 6066

autor

Antoni J.

• Université de Technologie de Compiégne, Laboratoire Roberval, UMR CNRS 6066

autor

Sidahmed M.

• Université de Technologie de Compiégne, Laboratoire Roberval, UMR CNRS 6066

Bibliografia

• [1] M. El Badaoui, J. Antoni, F. Guillet, J. Daniere, P. Velex. Use of the moving cepstrum integral to detect and localise tooth spalls in gears. Mechanical Systems and Signal Processing, 15(5): 873-885, September 2001.
• [2] M. Basseville, I. Nikiforov. Detection of Abrupt Changes: Theory and Applications. Prentice Hall, 1993.
• [3] D. Brillinger, M. Rosenblatt. Computation and Interpretation of k-th-order Spectra. Spectral analysis of Time series, B. Harris, ed. New York Wiley, 1967.
• [4] C. Capdessus, M. Sidahmed and J.L. Lacoume. Cyclostationary Processes: Application in gear faults early diagnosis. Mechanical Systems and Signal Processing, 14(3): 371-385, 2000.
• [5] W.R Collis, J.K. Hammond. Bispectrum and trispectrum. Mechanical systems and signal processing (MSSP), 12(3): 375-394, 1998.
• [6] A.V. Dandawate and G.B. Giannakis. Statisticial tests for presence of cyclostationarity. IEEE Transactions On Signal Processing, 42(9): 2355 2369, 1994.
• [7] J.W. A. Fackrell, S.M.C. Laughlin and P.R. White. Practical issues concerning the use of the bicoherence for the detection of quadratic phase coupling. Proceedings of IEEE workshop on HOS, Spain, 1995.
• [8] B.D. Forrester. Analysis of gear vibration in the time-frequency domain. Proceeding of the 44-th meeting of the vibration institute, Virginia, April 1990.
• [9] W. A. Gardner. Non parametric signal detection and identification of modulation type for signals hidden in noise, an application of the new theory of cyclic spectral analysis. 9ème collogue GRETSI sur le traitement du signal et des images, 119-123. Nice, 16-20 May 1983.
• [10] G. Giannakis, and A.V. Dandawate. Nonparametric polyspectral estimators for k-th-order (almost) cyclostationary processes. IEEE transactions on Information Theory, 40(1): 67-84, 1994.
• [11] H.L. Hurd, N.L. Gerr. Graphical methods for determining the presence of periodic correlation. Journal of time series analysis, 42(4): 337-350, 1991.
• [12] H. Hurd. Non parametric time series analysis for periodically correlated processes. IEEE Transactions on Information Theory, 35(1): 350-359, 1992.
• [13] Q. Meng, Q. Liansheng. Rotating machinery diagnostic using Wigner-Ville distributions. Mechanical systems and Signal processing (MSSP), 5(3), 1991.
• [14] P. Prieur and G. D'urso. Des indices de cyclostationarité pour la surveillance des engrenages. guinzième collogue Gretsi, 1241 1244. Juan les Pius, 1995, in French.
• [15] A. Raad. Contributions aux Statistiques Cycliques d'ordre superieur: Applications au diagnostic des defauts d'engrenage. Phd dissertation, Universite de Technologie de Compiegne, France, 2003.
• [16] R.B. Randall. Gearbox fault diagnosis using cepstrum analysis. Proceeding 5-th World Congress, Theory of Machines and Mechanisms, I. Mech. E., London, 1: 169-174, 1975.
• [17] R.B. Randall, J. Antoni. Differential Diagnostics of Gear and Bearing Faults using Spectral Correlation. ACAM2001, Canberra, Australia, September 2001.
• [18] G.D. Zivanovic and W.A. Gardner. Degrees of cyclostationarity and their application to signal detection and estimation. Signal Processing, 287-297, 1991.