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Akademia Morska w Szczecinie

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Author Radkowski, Stanisław
Affiliation Politechnika Warszawska Wydział SiMR, Instytut Podstaw Budowy Maszyn ul. Narbutta 84, 02-524 Warszawa
E-mail ras@simr.pw.edu.pl
ISSN printed 1733-8670
URI http://repository.scientific-journals.eu/handle/123456789/1049
Abstract This paper is concerned with diagnostic methods, the goal of which is to detect initial structural faults, characterize their nature and severity and isolate them into particular components. The analysis presented here focuses on a means of vibro-acoustic signals, specifically, on a means of extracting from such signals the information concerning physical interpretation of wear phenomena impact on signal generation. It demonstrates that such diagnostic information can be extracted using a fractional derivative methodology and that the technique can be useful in choosing the structure of a diagnostic model.
Pages 419-427
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords fractional derivative
Keywords vibro-acoustic diagnosis
Keywords diagnostic models
Keywords modulation
Title Using the Derivatives of Real Number Order for Vibro-acoustic Diagnosis of Low-energy Defects
References
  1. Bayar N., Chen O., Ball A., Kruger U., Detection of Incipient Tooth Defect in Helical Gears Using Multivariate Statistics, MSSP 15(2), 2001, s. 303 – 321.
  2. Filonik R., Mączak J., Radkowski S., Simulation and Modelling of tooth low-energy failure in helical gearbox, MDP, vol. 26 No 2/3, 2002, s. 89 – 104.
  3. http://mathworld.wolfram.com/FractionalDerivative.html.
  4. Huang N., Shen Z., Long S.R., A New View of Nonlinear Water Waves: The Hilbert Spectrum, Annual Review Fluid Mechanics, Niemcy, Vol. 31, 1999, s. 417 – 457.
  5. Jasiński M., Radkowski S., Wykorzystanie wignerowskiej analizy sygnału wibroakustycznego w zadaniach wykrywania uszkodzeń, Materiały II MKDT, Warszawa, Vol. 2, 2000, s. 133 – 134.
  6. Kościelny J.M., Diagnozowanie procesów przemysłowych, Inżynieria dia-gnostyki maszyn, Biblioteka Problemów Eksploatacji, 2004, s. 733 – 769.
  7. Lahdelma S., Kotila V., Reaaliderivaatat – uusi tapa käsitellä signalia, Kunnossapito, 8, 2003, s. 1 – 4.
  8. Mączak J., Radkowski S., Low-energy Spectrum Components as a Symptom of Failure, MDP, Vol. 8, 1994, s. 45 – 64.
  9. Mączak J., Samsonowicz J., Fast Algorithm for Calculating the Hausdorf Dimensions, MDP, Vol. 23, Nr 2, 1999, s. 95 – 101.
  10. Swami A., Mendel J. M., Nikias Ch. L., Higher – Order Spectral Analysis Toolbox, The Math Works Inc, 1993.
ISSN on-line 2392-0378
Funding No data
Figures 4
Tables 0
Published 2005-03-10
Accepted 2005-02-13
Recieved 2005-01-19


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