PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Database of expert diagnostic system in the field of turbine blades non-destructive testing

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents selected problems in the synthesis of the database of expert diagnostic system of gas turbine blades in the field of non-destructive testing. The source of data is optical methods and computed tomography methods. Optical tests can be carried out on the blades of the turbine built in the engine and after their disassembly. Optical tests provide diagnostic information in the form of an image of the blade surface. This makes it possible to identify damage based on changes in the attributes of the image of the blade surface. Computer tomography methods are applied on disassembled blades. Assessment of the technical condition of the blade is made on the basis of individual two-dimensional X-ray scans or on the basis of a three-dimensional image of the blade generated by the computer software from the set of X-ray scans taken during the full angle rotation. The computed tomography data set includes a small number of points on the timeline of operation; hence, the correlation of results with optical methods is difficult. Integration of diagnostic data from two or more sources into one expert system requires standardization of data. One possible approach is the use of multi-valued encoding of 2D and 3D image attributes. In this way a multivalued diagnostic model of the blade is obtained, which can be processed by information theory methods to optimize the set of attributes.
Twórcy
autor
  • Air Force Institute of Technology Ks. Boleslawa Street 6, 01-494 Warsaw, Poland tel.: +48 22 261 851313, fax: +48 22 261 851313
autor
  • Air Force Institute of Technology Ks. Boleslawa Street 6, 01-494 Warsaw, Poland tel.: +48 22 261 851313, fax: +48 22 261 851313
Bibliografia
  • [1] Blachnio, J., Analysis of causes of decohesion of a gas turbine blade made of EI 867-WD alloy, Aircraft Engineering and Aerospace Technology, 10.1108/00022661111119874, Vol. 83 (1), pp. 14-20, 2011.
  • [2] Błachnio, J., The effect of changing loads affecting the martensite steel on its structure and the Barkhausen noise level, NDT and E International, 10.1016/ j.ndteint.2007.10.009, Vol. 41 (4), pp. 273-279, 2008.
  • [3] Błachnio, J., The effect of high temperature on the degradation of heat-resistant and hightemperature alloys, Solid State Phenomena, 10.4028/www.scientific.net/ SSP.147-149.744, pp. 744-751, 2009.
  • [4] Bogdan, M., Diagnostic tests of gas turbine blades by digital image processing of their surface (thesis), p. 139, Faculty of Mechanical Engineering, Bialystok University of Technology, Bialystok 2009.
  • [5] Borowczyk, H., Elements of comprehensive diagnostics of complex technical objects (in preparation to print), 160, Air Force Institute of Technology, Warsaw.
  • [6] Borowczyk, H., An expert system supporting diagnostic inference, in: Borowczyk, H., (ed.), Problems of comprehensive diagnosis of the turbine engine’s bearing system, Wyd. ITWL, Warsaw 2011.
  • [7] Borowczyk, H., Problems of comprehensive diagnosis of the turbine engine's bearing system, 163, Wyd. ITWL, Warsaw 2011.
  • [8] Borowczyk, H., Błachnio, J., Spychała, J., Scopus as a meta-source of knowledge about turbine blade damage in the aspect of designing an expert diagnostic system, Journal of KONBiN, p. 18, 2017.
  • [9] Borowczyk, H., Kwieciński, R., Designing the knowledge base of the expert diagnostic system of the jet engine afterburner control system, Pomiary Automatyka Kontrola, 9bis, p. 3, 2005.
  • [10] Borowczyk, H., Kwieciński, R., An expert diagnostic system for the afterburner control system of a turbine jet engine, Diagnostyka, 39, p. 6, 2006.
  • [11] Borowczyk, H., Lindstedt, P., Formalization of expert knowledge in the diagnostics of aircraft turbine engine control systems, in: Korbicz, J., Patan, K., Kowal, M., (eds.), DPS2007 Diagnostyka procesów i systemów, p. 8, AOW EXIT, 2007.
  • [12] Cernuschi, F., et al., Solid particle erosion of standard and advanced thermal barier coatings, Wear, 10.1016/j.wear.2015.10.021, Vol. 348-349, pp. 43-51, 2016.
  • [13] Chalimoniuk, M., Szczepanik, R., Błachnio, J., The rate of decohesion of a gas turbine blade as assessed with the X-ray computed tomography (CT), Journal of KONES, 20, 2013.
  • [14] Jankowski, A., Kowalski, M., Start-up processes’ efficiency of turbine jet engines, Journal of KONBIN, 40, 10.1515/jok-2016-0041, p. 20, 2016.
  • [15] Kirschner, M., et al., Erosion testing of thermal barrier coatings in a high enthalpy wind tunnel, American Society of Mechanical Engineers (ASME), 2014.
  • [16] Kułaszka, A., et al., Nondestructive evaluation of turbine engines – Report base (unpublished), Air Force Institute of Technology, 2000-2018.
  • [17] Lewitowicz, J., Kowalski, M., Żyluk, A., Modern diagnostics of aircraft gas turbine engines – Some selected issues, Journal of KONBiN, 10.2478/jok-2014-0004, p. 8, 2014.
  • [18] Lindstedt, P., et al., Rotor blades condition monitoring method based on the elimination of the environment signal, in: Research Works of Air Force Institute of Technology, 10.2478/v10041-009-0005-y, p. 15, 2009.
  • [19] Michalik, K., PC SHELL 4.5 Shell expert system, in: Michalik, K., (ed.), AITECH (Artificial Intelligence Laboratory), Katowice 2006.
  • [20] Mulawka, J., Expert systems, WNT, Warszawa 1996.
  • [21] Naeem, M., Implications of turbine erosion for an aero-engine’s high-pressure-turbine blade’s low-cycle-fatigue life-consumption, Journal of Engineering for Gas Turbines and Power, 131(5), 10.1115/1.3078383, 2009.
  • [22] Niziński, S., Michalski, R., Diagnostics of technical objects, WITE, Radom 2002.
  • [23] Pawlak, M., Expert systems in the operation of machines, Pol. Lubelska, 1996.
  • [24] Szczepanik, R., et al., Application of blade-tip sensors to blade-vibration monitoring in gas turbines, in: Rasul, M., (ed.), Thermal Power Plants, InTech, 2012.
  • [25] Zhao, L., Au, P., The microstructure and high-temperature erosion behavior of an aluminidecoated turbine blade, 2013.
  • [26] Żółtowski, B., Basics of machine diagnostics, WATR, Bydgoszcz 1996.
  • [27] Żółtowski, B., Cempel. C., Engineering diagnostics of machines, WITE, Radom 2004.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1c00797b-7fa1-4dc8-b785-d88834a641d4
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.