Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-25T03:03:35.416Z Has data issue: false hasContentIssue false
  • English
  • Français

Apports de la cyclostationnarité à l’analyse des signauxmécaniques

Published online by Cambridge University Press:  15 June 2010

Jérôme Antoni
Jérôme Antoni*
Affiliation:
Laboratoire Roberval (UMR CNRS 6253), Université de Technologie de Compiègne, 60200 Compiègne, France
*
aAuteur pour correspondance :[email protected]
Get access

Abstract

La cyclostationnarité, propriété propre aux processus dont les caractéristiques évoluentcycliquement au cours du temps, offre un cadre particulièrement adapté à l’analyse denombreux signaux acoustiques et vibratoires. Après avoir rappelé les spécificités del’approche cyclostationnaire dans le contexte mécanique, nous montrons à travers plusieursexemples les possibilités qu’elle autorise dans des domaines d’application liés audiagnostic des machines, à l’identification des systèmes mécaniques et à la séparation desources vibro-acoustiques.

Keywords

Cyclostationnaritésignaux cyclostationnairesdiagnostic des machinesidentification des systèmesséparation de sourcesCyclostationaritycyclostationary signalsmachine diagnosticssystem identificationsource separation
Type
Research Article
Information
Mechanics & Industry , Volume 11 , Issue 1 , January 2010 , pp. 57 - 68
Copyright
© AFM, EDP Sciences 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

W.A. Gardner, Introduction to Random Processes, McGraw-Hill, 2nd Ed., 1990
Raad, A., Antoni, J., Sidahmed, M., Indicators of cyclostationarity: Theory and application to gear fault monitoring, Mechanical Systems and Signal Processing 22 (2008) 574–587CrossRefGoogle Scholar
Antoni, J., Randall, R.B., Differential Diagnosis of Gear and Bearing Faults, ASME J. Vib. Acoust. 124 (2002) 165–171CrossRefGoogle Scholar
Antoni, J., Bonnardot, F., Raad, A., El Badaoui, M., Cyclostationary Modelling of Rotating Machine Vibration Signals, Mechanical Systems and Signal Processing 18 (2004) 1285–1314CrossRefGoogle Scholar
Antoni, J., Randall, R.B., A Stochastic Model for Simulation and Diagnostics of Rolling Element Bearings with Localized Faults, ASME J. Vib. Acoust. 125 (2003) 282–289CrossRefGoogle Scholar
Zouari, R. et al., Cyclostationary Modelling of Reciprocating Compressors and Application to Valve Fault Detection, Int. J. Acoust. Vib. 12 (2007) 116–124Google Scholar
D. Ewins, Modal Testing – Theory, practice and Application, 2nd Ed. Research Studies Press, 2000
Antoni, J., Wagstaff, P., Henrio, J.-C., H α – A Consistent Estimator for Frequency Response Functions with Input and Output Noise, IEEE Instrum. Meas. 53 (2004) 457–465CrossRefGoogle Scholar
Hanson, D., Randall, R.B., Antoni, J., Thompson, D.J., Waters, T.P., Ford, R.A.J., Cyclostationarity and the cepstrum for operational modal analysis of mimo systems – Part I: Modal parameter identification, Mechanical Systems and Signal Processing 21 (2007) 2441–2458CrossRefGoogle Scholar
J. Antoni, M. Sidahmed, F. Gautier, S. Wang, Séparation et hiérarchisation des sources de bruits dans les moteurs par filtrage cyclique, XVe colloque, Vibrations Chocs & Bruit, 14-16 juin 2006, École Centrale de Lyon
F. Bonnardot, J. Antoni, R.B. Randall, M. El Badaoui, Enhancement of Second Order Cyclostationary Signals, Int. Conf. on Acoustics, Speech, and Signal Processing, Montreal, Canada, 2004
Bonnardot, F., Randall, R.B., Guillet, F., Extraction of second-order cyclostationary sources – Application to vibration analysis, Mechanical Systems and Signal Processing 19 (2005) 1230–1244CrossRefGoogle Scholar
Boustany, R., Antoni, J., A Subspace Method for the Blind Extraction of a Cyclostationary Source: Application to Rolling Element Bearing Diagnostics, Mechanical Systems and Signal Processing 19 (2005) 1245–1259CrossRefGoogle Scholar
Boustany, R., Antoni, J., Blind extraction of a cyclostationary signal using reduced-rank cyclic regression – A unifying approach, Mechanical Systems and Signal Processing 22 (2008) 520–541CrossRefGoogle Scholar