Vibroacoustic condition monitoring of the complex rotation system based on multilevel signal processing

• Autorzy: Pazdrii Olha , Bouraou Nadiia
• Języki publikacji: EN

Abstrakty

EN

This work is devoted to further research and improvement of the vibroacoustic condition monitoring of complex rotation system during operation. The low-frequency vibration and acoustic noise in the range 0-10 kHz is used as diagnostic information. We propose to use Bispectrum (BS) Analysis at the first level of signal processing, and Fractal Analysis of BS contour images at the second level of signal processing for the diagnosis of small imbalance of rotation system. The experimental studies of forced vibrations of the physical model (PM) of the rotation system are carried out under steady-state and non-steady-state rotation excitations. The results of the BS Analysis of vibroacoustical signals, which are emitted by a rotating PM during different excitation modes, are processed in order to determine fractal box-counting dimension (Minkowski dimension). The research shows that a small imbalance can be efficiently detected by the proposed multilevel signal processing in all modes of PM operation.

Słowa kluczowe

EN

rotation system; signal processing; bispectrum analysis; fractal box-counting dimension

PL

system rotacyjny; przetwarzanie sygnałów; analiza bispektralna; fraktalny wymiar pudełkowy

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2020
• Tom: Vol. 31, nr 2
• Strony: art. no. 2020224
• Opis fizyczny: Bibliogr. 8 poz., wykr.

Twórcy

autor

Pazdrii Olha

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 37 Peremohy Pr., Kyiv, Ukraine, 03056

autor

Bouraou Nadiia

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 37 Peremohy Pr., Kyiv, Ukraine, 03056

Bibliografia

• 1. M. Adamowicz, G. Żywica, Advanced gas turbines health monitoring systems, Diagnostyka. Vol.19,2 (2018) 77-87.
• 2. W. Staszewski, C. Boller, G. Tomlinson, Health Monitoring of Aerospace Structures: Smart Sensor Technologies and Signal Processing, John Wiley & Sons Ltd. 2004.
• 3. N. Bouraou, Iu. Sopilka, Vibroacoustical diagnosis of the crack-like damages of aircraft engine blades at the steady-state and non-steady-state modes, Vibrations in Physical Systems, 24 (2010) 69-74.
• 4. O. Pazdrii, N. Bouraou, Two-level signal processing of vibroacoustical signals for condition monitoring of complex rotary systems, Proc. of NTSP (2018) 164-168.
• 5. W. Collins, Higher Order Spectra: the Bispectrum and Trispectrum, Mech. Syst. and Signal Processing, Vol. 12, 3 (1998) 375-394.
• 6. J. Feder, Fractals, Plenum Press, New York, 1988.
• 7. A. E. Kononiuk, Diskretno-nepreryvnaia matematika. (Poverhnosti), Osvita Ukrainy, Kyiv, 2016.
• 8. https://www.mathworks.com/matlabcentral/fileexchange/13063boxcount?s_tid=srchtitle

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).