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The visualization of shaft vibration using the algorithm of phase-amplitude data interpolation

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In many cases of observations of phenomena and physical processes we use data measured in multidimensional spaces. However, in practice, for the economic or technical reasons, we cannot obtain equally numerous data sets for all dimensions. In this case we can say that we are trying to assess or classify this process by using a few parts of its projection. For processing and computing of an input data a different solutions of interpolation and/or approximation are often used. But data, which have phase-amplitude nature, should be treated in a specific way. The lack of proper interpretation of phase shifts in many cases can result in obtaining the significant distortions of an analyzed process image. In this paper the algorithm of phase-amplitude interpolation is presented. This algorithm has been used for creating the contours charts, as projections of rotating shaft vibrations, in transient operating conditions of the machine.
Rocznik
Strony
137--148
Opis fizyczny
Bibliogr. 16.poz., rys.
Twórcy
  • Institute of Computer and Information Sciences, Czestochowa University of Technology Częstochowa, Poland
Bibliografia
  • [1] Cempel C., Multidimensional condition monitoring of mechanical systems in operation, Mechanical Systems and Signal Processing 2003, 17(6), 1291-1303.
  • [2] Ziopaja K., Pozorski Z., Garstecki A., Damage detection using thermal experiments and wavelet transformation, Inverse Problems in Science and Engineering 2011, 19(1), 127-153.
  • [3] Karabay S., Uzman I., Importance of early detection of maintenance problems in rotating machines in management of plants: Case studies from wire and tyre plants, Engineering Failure Analysis 2009, 16, 212-224.
  • [4] Cempel C., Application of TRIZ approach to machine vibration condition monitoring problems, Mechanical Systems and Signal Processing 2013, 41, 328-334.
  • [5] Vania A., Pennacchi P., Experimental and theoretical application of fault identification measures of accuracy in rotating machine diagnostics, Mechanical Systems and Signal Processing 2004, 18, 329-352.
  • [6] Liu S., A modified low-speed balancing method for flexible rotors based on holospectrum, Mechanical Systems and Signal Processing 2007, 21, 348-364.
  • [7] Pennacchi P., Vania A., Accuracy in the identification of a generator thermal bow, Journal of Sound and Vibration 2004, 274, 273-295.
  • [8] Qingbo He, Zhihua Feng, Fanrang Kong, Detection of signal transients using independent component analysis and its application in gearbox condition monitoring, Mechanical Systems and Signal Processing 2007, 21, 2056-2071.
  • [9] Idriss El-Thalji, Erkki J., A summary of fault modelling and predictive health monitoring of rolling element bearings, Mechanical Systems and Signal Processing 2015, 60-61, 252-272.
  • [10] Yi W., Guanghua X., Qing Z., Dan L., Kuosheng J., Rotating speed isolation and its application to rolling element bearing fault diagnosis under large speed variation conditions, Journal of Sound and Vibration 2015, 348, 381-396.
  • [11] Tuncay K., Nizami A., Experimental diagnostics of ball bearings using statistical and spectral methods, Tribology International 2009, 42, 836-843.
  • [12] George G., Petros K., Theodoros L., Chrysostomos D.S., Rolling element bearings diagnostics using the Symbolic Aggregate approXimation, Mechanical Systems and Signal Processing 2015, 60-61, 229-242.
  • [13] Helio Fiori de Castro, Katia Lucchesi C., Rainer N., Whirl and whip instabilities in rotor-bearing system considering a nonlinear force model, Journal of Sound and Vibration 2008, 317, 273-293.
  • [14] Robbersmyr K.G., Olsen H., Reza Karimi H., Tonder K., Oil whip-induced wear in journal bearings, Int. J. Adv. Manuf. Technol. 2014, 73, 973-980.
  • [15] Chen-Chao F., Min-Chun P., Experimental study on the whip elimination of rotor-bearing systems with electromagnetic exciters, Mechanism and Machine Theory 2011, 46, 290-304.
  • [16] Chen-Chao F., Jhe-Wei S., Min-Chun P., Wen-Chang T., Study of start-up vibration response for oil whirl, oil whip and dry whip, Mechanical Systems and Signal Processing 2011, 25, 3102-3115.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7dfdf79a-b45e-457a-82ca-46d0d81dcb5e
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