Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Diagnosing machines operating under variable load using vibration signals requires the application of advanced computational methods. The variable load of rotating machinery affects their rotational speed and the amplitude of generated vibration signals. Synchronous methods are commonly used to negate the effect of speed variations, such as Synchronous Sampling, Order Analysis or Time-Synchronous Averaging. However, the problem remains with the impact of load on the amplitude values of diagnostic signals. This paper proposes new order spectra insensitive to varying load. The components of the spectra are determined from the dependence of order amplitudes as a load function. The proposed spectra are a reference to a reference spectrum determined for the correct operating condition of the machine. In order to test the effectiveness of the new method, an experiment was carried out on a laboratory bench to diagnose a planetary gearbox. The method gave unambiguous results in identifying the alignment of the driveline under test.
Czasopismo
Rocznik
Tom
Strony
art. no. 2023220
Opis fizyczny
Bibliogr. 20 poz., 1 fot. kolor., 1 rys., wykr.
Twórcy
autor
- AGH University of Krakow, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, al. A. Mickiewicza 30, 30-059 Kraków, Poland
Bibliografia
- 1. T. Wang, Q. Han, F. Chu, Z. Feng; Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox : A review; Mech Syst Signal Process., 2019, 126, 662-685; DOI: 10.1016/j.ymssp.2019.02.051
- 2. J. Immonen, S. Lahdelma, E. Juuso; Condition monitoring of an epicyclic gearbox at a water power station, (n.d.); http://os.is/gogn/Skyrslur/OS-2012/OS-2012-06/OS-2012-06-09.pdf (accessed on November 27, 2023)
- 3. W. Bartelmus, R. Zimroz; A new feature for monitoring the condition of gearboxes in non-stationary operating conditions; Mech Syst Signal Process., 2009, 23, 1528-1534; DOI: 10.1016/j.ymssp.2009.01.014
- 4. W. Bartelmus, R. Zimroz; Vibration spectra characteristic frequencies for condition monitoring of mining machinery compound and complex gearboxes; Prace Naukowe Instytutu Gornictwa Politechniki Wroclawskiej, 2011, 40, 17-34
- 5. W. Batko, P. Pawlik, W. Cioch, D. Dąbrowski; Method and system for monitoring and diagnosis of gear, especially gear wheel drive bucket wheel excavator; Patent PL 225381 B1, PL 225381 B1, 2013
- 6. I. Komorska, A. Puchalski; Rotating Machinery Diagnosing in Non-Stationary Conditions with Empirical Mode Decomposition-Based Wavelet Leaders Multifractal Spectra; Sensors, 2021, 21, 7677; DOI: 10.3390/S21227677
- 7. R.B. Randall, J. Antoni; Rolling element bearing diagnostics-A tutorial; Mech Syst Signal Process., 2011, 25, 485-520; DOI: 10.1016/j.ymssp.2010.07.017
- 8. S. Gade, H. Herlufsen, H. Konstantin-Hansen, N.J. Wismer; Order Tracking Analysis; Brüel & Kjær, Nærum, 1995
- 9. K.R. Fyfe, E.D.S. Munck; Analysis of computed order tracking; Mech Syst Signal Process., 1997, 11, 187-205; DOI: 10.1006/mssp.1996.0056
- 10. National Instruments Corporation, LabVIEW, Order Analysis Toolkit User Manual; Austin, Texas, 2005
- 11. T. Korbiel; Analiza rzędów w diagnostyce niestacjonarnych procesów wibroakustycznych; Diagnostyka, 2007, 3, 99-104
- 12. P. Borghesani, P. Pennacchi, R.B. Randall, R. Ricci; Order tracking for discrete-random separation in variable speed conditions; Mech Syst Signal Process., 2012, 30, 1-22; DOI: 10.1016/j.ymssp.2012.01.015
- 13. X. Qi, Z. Yuan, X. Han; Diagnosis of misalignment faults by tacholess order tracking analysis and RBF networks; Neurocomputing, 2015, 169, 439-448; DOI: 10.1016/j.neucom.2014.09.088
- 14. P. Pawlik, D. Lepiarczyk, R. Dudek, J.R. Ottewill, P. Rzeszuciński, M. Wójcik, A. Tkaczyk; Vibroacoustic study of powertrains operated in changing conditions by means of order tracking analysis; Eksploatacja i Niezawodnosc - Maintenance and Reliability, 2016, 18, 606-612; DOI: 10.17531/ein.2016.4.16
- 15. P. Borghesani, P. Pennacchi, S. Chatterton, R. Ricci; The velocity synchronous discrete Fourier transform for order tracking in the field of rotating machinery; Mech Syst Signal Process., 2014, 44, 118-133; DOI: 10.1016/j.ymssp.2013.03.026
- 16. P. Pawlik; Single-number statistical parameters in the assessment of the technical condition of machines operating under variable load; Eksploatacja i Niezawodnosc - Maintenance and Reliability, 2019, 21, 164-169; DOI: 10.17531/ein.2019.1.19
- 17. P. Pawlik; The Use of the Acoustic Signal to Diagnose Machines Operated Under Variable Load; Archives of Acoustics, 2020, 45, 263-270; DOI: 10.24425/aoa.2020.133147
- 18. C. Cempel; Podstawy wibroakustycznej diagnostyki maszyn (in Polish); Międzyresortowe Centrum Naukowe Eksploatacji Majątku Trwałego, Radom, 1982
- 19. Z. Dabrowski, J. Dziurdź, G. Klekot; Influence of the mesh geometry evolution on gearbox dynamics during its maintenance; International Journal of Applied Mechanics and Engineering, 2017, 22, 1097-1105; DOI: 10.1515/ijame-2017-0071
- 20. P. Pawlik, K. Kania, B. Przysucha; The Use of Deep Learning Methods in Diagnosing Rotating Machines Operating in Variable Conditions; Energies, 2021, 14, 4231; DOI: 10.3390/EN14144231
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cb32daa9-3069-415a-a0f3-f5317534910a