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Signals representation on energetic plane based on Teager-Kaiser energy operator

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
Symposium “Vibrations In Physical Systems” (26 ; 04-08.05.2014 ; Będlewo koło Poznania ; Polska)
Języki publikacji
EN
Abstrakty
EN
Development of complicated machines and need for maintaining high efficiency and safety of their work is main reason for development of new and more reliable monitoring techniques. One of the main aims of condition monitoring is detection of early stage of failure and monitoring of its development [1]. Such techniques should be sensitive for change in diagnostic signal due to arise of failure. Paper presents exemplary representations of signals types on energetic plane calculated using Teager-Kaiser energy operator (TKEO). First basic information on TKEO is presented. Next energetic plane is introduced and models of signals are showed. In final section of the paper example of model of signal containing disturbance related with mashing is presented. Teager-Kaiser energy operator, due to is properties, can be used for detection of transient events such as impulses resulting from disturbances of mating of teeth in gearboxes. Such a disturbance of mating is related with decrease of stiffness of given tooth due to crack or development of pitting [2]. Sensitivity of Teager-Kaiser energy operator allow for earlier detection of transient disturbances then use of raw data methods such as Hilbert transform demodulation.
Rocznik
Tom
Strony
235--245
Opis fizyczny
Bibliogr. 17 poz., wykr.
Twórcy
autor
  • Institute of Vehicles, Warsaw University of Technology, Street 84, 02-524 Warsaw, Poland
autor
  • Institute of Vehicles, Warsaw University of Technology, Street 84, 02-524 Warsaw, Poland
Bibliografia
  • 1. S. Radkowski, Diagnostyka wibroakustyczna uszkodzeń niskoenergetycznych, ITE, Radom 2002.
  • 2. J. Mączak, Local meshing plane analysis as a source of information about the gear quality, Mech. Syst. Signal Process. (2012). http://dx.doi.org/10.1016//j.ymssp.2012.09.012
  • 3. J. Dybała, Vibrodiagnostics of gearboxes using NBV-based classifier: A pattern recognition approach, Mech. Syst. Signal Process. (2012). http://dx.doi.org//10.1016/j.ymssp.2012.08.021
  • 4, S. Delvecchio, On the Use of Wavelet Transform for Practical Condition Monitoring Issues, (Baleanu D. (Ed.), Advances in Wavelet Theory and Their Applications in Engineering. Physics and Technology, InTech), (2012). DOI: 10.5772/35964
  • 5. A. Orlowska, P. Kolakowski, J. Holnicki-Szulc, Detecting delamination zones in composites by embedded electrical grid and thermographic methods, Smart Materials and Structures, vol. 20, no. 10. (2011), DOI: 10.1088/0964-1726/20/10/105009
  • 6. S. Gontarz, S. Radkowski, Impact of different factors on relationship between stress and eigenmagnetic field in steel specimen. IEEE Transactions on Magnetics Vol. B, no. 3 (2012), pp. 1143-1154. DOI: 10.1109/TMAG.2011.2170845
  • 7. S. Radkowski, R. Gumiński, Impact of vibroacoustic diagnostics on certainty of reliability assessment, Engineering Asset Lifecycle Management, Part 16, (2010), pp. 574-582. DOI: 10.1007/978-0-85729-320-6_66
  • 8. C. Cempel, B. Żółtowski, Inżynieria Diagnostyki Maszyn, PTDT/ITE, 2004.
  • 9. P. Henríquez, P. R. White, J. B. Alonso, M. A. Ferrer, C. M. Travieso, Application of Teager-Kaiser Energy Operator to the Analysis of Degradation of a Helicopter Input Pinion Bearing, available at: http://jean.fabri.perso.sfr.fr/sfm//papiers_surveillance/8_Henriquez.pdf (access: 2012-11-28).
  • 10. H. Li, L. Fu, Y. Zhang, Bearing Faults Diagnosis Based on Teager Energy Operator Demodulation Technique, Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on, Volume: 1, (2009) DOI:10.1109/ICMTMA.2009.421
  • 11. H. Li, H. Zheng, L. Tang, Gear Fault Detection Based on Teager-Huang Transform, International Journal of Rotating Machinery, vol. 2010, (2010). doi:10.1155/2010/502064
  • 12. J. F. Kaiser, On a simple algorithm to calculate the ’energy’ of a signal, Proc IEEE ICASSP-90, Albuquerque, NM, April 1990, (1990), pp. 381-384.
  • 13. J. F. Kaiser, On Teager’s Energy Algorithm and its generalization to continuous signals - a simple algorithm to calculate the ’energy’ of a signal, Proc IEEE Digital Signal Processing Workshop, New Paltz, NY, Septemer 1990, (1990).
  • 14. P. Maragos P., J. F. Kaiser, T. F. Quatieri, On amplitude and Frequency Demodulation Using Energy Operators, IEEE Transactions on Signal Processing, vol. 41, (1992), pp. 1532-1550.
  • 15. P. Maragos, A. Potamianos, Higher order differential energy operators, IEEE Signal Processing Letters, Vol. 2, Issue: 8, (1995), pp. 152-154.
  • 16. A. Gałęzia, Averaged signal measures of TKEO energy waveform in detection of tooth break in gearbox, Measurement Automation and Monitoring, vol. 60, no 1/2014, (2014) pp. 31-34.
  • 17. J. Dybała, Wykrywanie wczesnych faz uszkodzeń metodami sztucznej inteligencji, Wydawnictwo Naukowe Instytutu Technologii Eksploatacji, Warszawa–Radom, 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3dd66c26-f2f0-4945-afad-bf460ac74e16
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