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Experimental investigation of rotor vibration by using full spectra from shaft mounted piezoelectric patches

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The work considers the applicability of signals coming from rotor-mounted sensors in machine diagnostics. In the experiments, such sensors were implemented by piezoelectric patches bonded to the surface of a shaft. The laboratory stand also included more common sensors: laser sensors that measured the displacement of the central disc, as well as accelerometers mounted on the supports. The signals measured are analysed using the so-called full FFT method and the spectra are compared. The results show that the signals from piezoelectric sensors can be processed so that their spectral content is similar to typical spectra obtained using stator-mounted sensors.
Rocznik
Strony
art. no. 2019203
Opis fizyczny
Bibliogr. 13 poz., rys., wykr.
Twórcy
  • AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, al. Mickiewicza 30, 30-059 Kraków
  • AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, al. Mickiewicza 30, 30-059 Kraków
Bibliografia
  • 1. A. Muszyńska, Rotordynamics, CRC Press, Boca Raton, 2005.
  • 2. J. Kiciński, Dynamics of Rotors and Sliding Bearings (in Polish), IMP PAN, Gdańsk, 2005.
  • 3. M. Monte, F. Verbelen, B. Vervisch, The Use of Orbitals and Full Spectra to Identify Misalignment, in: A. Wicks (Ed.), Structural Health Monitoring, Springer International Publishing, Cham, 5 (2014) 215 - 222.
  • 4. R. R. Da Silva, E. S. Costa, R. Oliveira, A. Mesquita, Fault diagnosis in rotating machine using full spectrum of vibration and fuzzy logic, Journal of Engineering Science and Technology, 12 (2017) 2952 - 2964.
  • 5. A. A. Cavalini Jr, L. Sanches, N. Bachschmid, V. Steffen Jr, Crack identification for rotating machines based on a nonlinear approach, Mechanical Systems and Signal Processing, 79 (2016) 72 - 85, doi:10.1016/j.ymssp.2016.02.041.
  • 6. M. A. Abuzaid, M. E. Eleshaky, M. G. Zedan, Effect of partial rotor-to-stator rub on shaft vibration, Journal of Mechanical Science and Technology, 23 (2009) 170 - 182, doi:10.1007/s12206-008-0717-x.
  • 7. H. Kunze, M. Riedel, K. Schmidt, E. Bianchini, Vibration reduction on automotive shafts using piezoceramics, in: E. H. Anderson (Ed.), San Diego, CA, 2003: p. 382, doi:10.1117/12.483891.
  • 8. P. J. Sloetjes, A. De Boer, Vibration Reduction and Power Generation with Piezoceramic Sheets Mounted to a Flexible Shaft, Journal of Intelligent Material Systems and Structures, 19 (2008) 25 - 34, doi:10.1177/1045389X06072753.
  • 9. L. Arebi, F. Gu, A. Ball, A comparative study of misalignment detection using a novel Wireless Sensor with conventional Wired Sensors, Journal of Physics: Conference Series, 364 (2012) 012049, doi:10.1088/1742-6596/364/1/012049.
  • 10. M. E. Elnady, A. Abdelbary, J. K. Sinha, S. O. Oyadiji, FE and Experimental Modeling of On-shaft Vibration Measurement, Proceedings of the 15th International Conference on Aerospace Sciences & Aviation Technology, (2013) 1 - 18.
  • 11. S. Jiménez, M. O. T. Cole, P. S. Keogh, Vibration sensing in smart machine rotors using internal mems accelerometers, Journal of Sound and Vibration, 377 (2016) 58 - 75, doi:10.1016/j.jsv.2016.05.014.
  • 12. Y. Ishida, T. Yamamoto, Linear and Nonlinear Rotordynamics: A Modern Treatment with Applications, Wiley-VCH, Weinheim, 2012.
  • 13. M. Owen, Practical Signal Processing, Cambridge University Press, 2012.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-aa8c67f3-1659-4cf1-ad36-d408804709f1
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