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Tytuł artykułu

Short time vibration analysis and parameterisation as a tool for machine prototypes testing

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Języki publikacji
EN
Abstrakty
EN
The paper outlines the idea of using the short-time vibration signal processing for testing machines of a complex design, particularly the machines consisting of many subassemblies with a non-stationary (e.g. cyclic) operation modes. The method presented consists in graphic representation of vibrations of subassemblies in the form of a trace on a plane. It is created by associating instantaneous rms values of vibration acceleration and instantaneous Rice frequency values obtained as a result of short-time signal processing. On the basis of the shape, orientation of the created trajectory and / or dispersion / concentration of points on the Rf - arms plane, the type of non-stationarity of generated vibrations can be identified. The presented methodology can be used for testing machine prototypes. The results in the proposed form can be helpful to determine the type of vibration reduction systems for individual machine subassemblies. It is also possible to detect subassemblies for which an increase in machine capacity results in an increase in the level of generated vibrations. The location of the averaged values of measures obtained for a new machine on the Rf - arms plane can be a reference point for further monitoring of machine vibration and for detection of damage or malfunction of its subassemblies.
Rocznik
Strony
art. no. 2020112
Opis fizyczny
Bibliogr. 14 poz., fot. kolor., wykr.
Twórcy
  • Poznan University of Technology, Faculty of Mechanical Engineering, 3 Piotrowo St, 60-965 Poznan
Bibliografia
  • 1. ISO 10816-1:1995, Mechanical vibration - Evaluation of machine vibration by measurements on non-rotating parts - Part 1: General guidelines.
  • 2. ISO 20816-1:2016, Mechanical vibration - Measurement and evaluation of machine vibration - Part 1: General guidelines.
  • 3. P. Czop, W. Staszewski, A. Jabłoński, Parametric early warning diagnostic method for rotating machinery diagnostics, Diagnostyka, 17(4) (2016) 49 - 58.
  • 4. R. Barczewski, B. Jakubek, Project: Modular SRP packaging production system, :task 1: Vibration and noise studies, Technical Report No r475_2019, Poznan University of Technology, 2019.
  • 5. S. Qian, D. Chen, Joint time frequency analysis: methods and applications, Prentice-Hall, Upper Shaddle River, 1996.
  • 6. C. Cempel, Diagnostically oriented measure of vibroacoustical processes, Journal of Sound and Vibration, 73(4) (1980) 574 - 561.
  • 7. P. Deuszkiewicz, D. Górnicka, Rice Frequency as a Measure of Damage to the Combustion Engine Valve, Przegląd Mechaniczny, 4 (2009) (in Polish).
  • 8. F. Inoue, E. Outa, K. Tajima, T. Machiyama, An Experimental Study on Control Valve Cavitation (1st Report Diagnostics of Cavitation Vibration at High Pressure Reduction and at Low Valve Opening), Transactions of the Japan Society of Mechanical Engineers Series B, 53(485) (1987) 127 - 137.
  • 9. C. Cempel, Principles of vibroacoustical diagnostics of machines, WNT, Warszawa 1982 (in Polish)
  • 10. R. Barczewski, Short time Rice frequency analysis (STRFA) a method of the time variant vibration signal analysis, Vibrations in Physical Systems, 22 (2006) 79 - 82.
  • 11. R. Barczewski, Diagnostic oriented methods of short time processing of vibroacoustic signals, Publishing House of Poznan University of Technology, Poznań 2013 (in Polish).
  • 12. J. Bendat, A. Piersol, Random data: Analysis and Measurement Procedures, John Wiley & Sons, New York 1986,
  • 13. M. Barczewski, R. Barczewski, T. Sterzynski, Dynamic pressure analysis as a tool for determination of sharkskin instability by extrusion of molten polymers, Journal of Polymer Engineering, 32 (2012), doi:10.1515/polyeng-2011-0157.
  • 14. T. Plazenet, T. Boileau, C. Caironi, B. Nahid-Mobarakeh, Signal processing tools for non-stationary signals detection, 2018 IEEE International Conference on Industrial Technology (ICIT), Lyon, 2018, 1849 – 1853.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b66d6958-2ab9-4ef3-89c6-635076dd51f5
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