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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-3d8d5348-edf0-4a26-91ae-2ca9f8d602db

Czasopismo

Journal of KONES

Tytuł artykułu

Parametric and nonparametric diagnostic models for blades in the rotating machinery with environment elimination

Autorzy Grądzki, R.  Golak, K.  Lindstedt, P. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN The article presents an analysis of the technical condition of the two blades with different technical conditions (for medium and low wear). It is shown that the evaluation of the blades basis only on the endoscopic research does not provide full information about the technical condition (known only the external condition of the blades). Proposed supplement endoscopic examinations of is the use of two parametric methods (the blades are tested during operation of rotating machine) based on the auto and cross power spectral density functions for the signal measured as displacement of the rotor blade tip y(t). As result of these methods is the portrait of the blades was obtained (in the form of clear colour images providing a degree of a wear), which also includes the internal condition of the blades. The additional complement to parametric methods may be nonparametric method. Auto and cross power spectral density functions (obtained from measurement of the blade tip movement) is a basis to determine the characteristics (abstract step and impulse responses) of each blade. Both parametric methods which nonparametric method clearly confirmed that the technical condition of first considered blade (no. 2) differs from the technical condition of the second blade (no. 22).
Słowa kluczowe
EN diagnostic model   phase shift   amplitude gain   power spectral transfer function  
Wydawca Institute of Aviation
Czasopismo Journal of KONES
Rocznik 2016
Tom Vol. 23, No. 2
Strony 137--145
Opis fizyczny Bibliogr. 23 poz., rys.
Twórcy
autor Grądzki, R.
  • Bialystok University of Technology Faculty of Mechanical Engineering Wiejska Street 45C, 15-351 Bialystok, Poland tel.:+48 571 443 046, +48 571443097, fax: +48 85 746 92 00, r.gradzki@pb.edu.pl
autor Golak, K.
  • Bialystok University of Technology Faculty of Mechanical Engineering Wiejska Street 45C, 15-351 Bialystok, Poland tel.:+48 571 443 046, +48 571443097, fax: +48 85 746 92 00, k.golak@pb.edu.pl
autor Lindstedt, P.
  • Air Force Institute of Technology Ksiecia Boleslawa Street 6, 01-494 Warszawa, Poland tel.: +48 26 185 13 57 , pawel.lindstedt@itwl.pl
Bibliografia
[1] Duan, F., Fang, Z., Sun, Y., Ye, S., Real-time vibration measurement technique based on tip-timing for rotating blades. Opto-Electronic Energineering, 30 (1), pp. 29-31 2005.
[2] Golak, K., Grądzki, R., Lindstedt, P., Technical object environment signals and its elimination from diagnostic model, Journal of KONES, Vol. 20, No. 2, pp. 121-126, 2013. 143
[3] Golak, K., Lindstedt, P.,Grądzki, R., Studies of the jet engine control quality based on its response to the disturbance inflicted on the object, designated from its response to the set point inflicted to the controller, Safety and Reliability, Methodology and Applications, Proceedings of the European Safety and Reliability Conference, ESREL 2014, pp. 137-140, Wroclaw 2015.
[4] Grądzki, R., The influence of diagnostic signal measurement period on blades technical condition imagines determined from phase shift difference, Solid State Phenomena Mechatronic Systems and Materials, V, Vol. 199, pp. 67-72, 2013.
[5] Grądzki, R., Lindstedt, P., Method of assessment of technical object amplitude in environment of exploitation and service conditions, Eksploatacja i Niezawodność – Mainetnance and Reliability, 17 (1) pp. 54-63, 2015.
[6] Grądzki, R., Lindstedt, P., Golak, K., Premises of evaluation of the technical object suitability with including the quality of its maintenance and operation, and their initial conditions. Safety and Reliability: Methodology and Applications chapter 44, pp. 319-326, 2015.
[7] He, J. W. O., Kong, F., Automatic fault diagnosis of rotating machines by time-scale manifold ridge analysis. Mechanical Systems and Signal Processing; 40(1):237-256, 2013.
[8] Hee, L. M., Leong, M. S., & Hui, K. H., Blade Faults Classification and Detection Methods, Review, Advanced Materials Research, 845, 123-127, 2014.
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[19] Witoś, M., High Sensitive Methods for Health Monitoring of Compressor Blades and Fatigue Detection, The Scientific World Journal, Vol. 2013, Article ID 218460, 31 p. 2013.
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Uwagi
PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-3d8d5348-edf0-4a26-91ae-2ca9f8d602db
Identyfikatory
DOI 10.5604/12314005.1213581