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Use of vibroacoustical signal in detecting early stages of failures

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Języki publikacji
EN
Abstrakty
EN
An understanding of vibroacoustic signal is required for the robust and more effective detection of early stage failure. In the paper the possibility and method of time varying vibration decomposition are discussed. It is shown that analysing the coupling between the structure's components changes from linear to nonlinear or to other kind of nonlinearity together with intermodulation phenomena can be used as measure in structural health monitoring. In addition on an analytical connection is investigated between the tracking method and the physics of the kinematic contact process based on the idea of higher-order spectra analysis, bispectral analysis specially.
Rocznik
Tom
Strony
11--18
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
  • Institute of Machine Design Fundamentals Warsaw University of Technology Narbutta 84 , 02-524 Warsaw, Poland, ras@simr.pw.edu.pl
Bibliografia
  • [1] Barschdorff D., Femmer U.: Signal Processing and Pattern Recognition Methods for Biomedical Sound Analysis. 2nd International Symposium Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques, ˝, pp. 279÷290.
  • [2] Chudzikiewicz A., Radkowski S.: Failure – oriented procedure of vibroacoustic signal analysis. Proceedings of the Third European Workshop Structural Health Monitoring 2006. Juli 5-7 2006. pp. 1300÷1307.
  • [3] Drożynek P., Veith E.: (2002) Risk Based Inspection Methodology Overview; Diagnostyka Vol. 27, 2002. pp. 82÷88.
  • [4] Eykhoff P.: Identification in Dynamic Systems, Warszawa, 1980, (in Polish).
  • [5] Kumar B. U. K. V., Carroll C. W.: Effects of Sampling on Signal Detection Using the Cross-Wigner Distribution Function. Applied Optics, 23/22 4090÷4094.
  • [6] Mendel J.M.: Tutorial on Higher-Order Statistics (Spectra) in Signal Processing and System Theory: Theoretical Results and Some Applications. Proc. of the IEEE, Vol.79 No 3, 1991, pp. 278÷305.
  • [7] Meng Q., Qu L.: Rotating Machinery Fault Diagnosis Using Wigner Distribution. Mechanical Systems and Signal Processing, 5 (3), 1991, pp. 155÷166.
  • [8] Najar, J.: Continuous damage of in: Continuum damage mechanics theory and applications. Editors: Krajcinovic D., Lemaitre J. International Centre for Mechanical Sciences Courses and Lectures, 295, 1991, pp. 234÷293.
  • [9] Nikias Ch. L., Petropulu A. P.: Higher-Order Spectral Analysis, PTR Patience Hall, New Jersey 1993.
  • [10] Radkowski S.: Vibroacoustic Diagnostics of Low-energy Failures, ITE Radkom, 2002, (in Polish).
  • [11] Radkowski S.: Nonlinearity and Intermodulation Phenomena Tracking as a Method for Detecting Early Stages of Gear Failures. Proceedings of the Second World Congress on Engineering Asset Management, WCEAM’2007.
  • [12] Ray A.: Symbolic Dynamic analysis of complex systems for anomaly detection. Signal Processing, Vol. 84, 2004, pp. 1115÷1130.
  • [13] Schetzen M.: The Volterra and Wiener Theories of Non-linear Systems, John Willey & Sons, New York, 1980.
  • [14] Staszewski W. J.,. Tomlinson G. R.: Application of the Wavelet Transform to Fault Detection in Spur Gear. Mechanical Systems and Signal Processing, 8 (3), 1994, pp. 289÷307.
  • [15] Wang W. J., McFadden P. D.: Early Detection of Gear Failure by Vibration Analysis-I. Calculation of the Time-Frequency Distribution. Mechanical Systems and Signal Processing, 7(3), 1993, pp. 193÷203.
  • [16] Yatomi M. ai all.: Application of Risk-Based Maintenance on Materials Handling Systems, IHI Engineering Review, vol. 37, No 2, 2004, pp. 52÷58.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT1-0024-0011
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