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Selected problems of determining an efficient operation standard in contemporary heat-and-flow diagnostics

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Języki publikacji
EN
Abstrakty
EN
In this paper are specified causes of ambiguities and difficulties in determining an efficient operation standard for land and marine turbine power plants. Two of them, namely: lowering values of working media inlet parameters and changes in configuration of connections between component devices of thermal cycles, have been analyzed. As a remedy for resulting difficulties a thermal cycle computational model of modular structure has been proposed. As showed, the tuning of the computational model with respect to correct measurements by elaborating individual corrections for calculation coefficients of computational methods used for particular devices ensures good accuracy of determination of unserviceability symptoms in these conditions. Introduction to the modular computational model – of control modules making use of valve opening indicators in DCS system ensures good accuracy also in the case of changes in structure of complex power object.
Rocznik
Tom
S 1
Strony
22--27
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
autor
Bibliografia
  • 1. Abernethy R. B., Benedict R. P., Dowdell R. B.: ASME Measurement Uncertainty, Transactions of ASME, Journal of Fluids Engineering, June 1985, ASME 1985
  • 2. Doel D. L.: Sample Analyses Including Interpretation of Residual Error, VKI Lectures Gas Turbine Condition Monitoring & Fault Diagnosis, Ed. Sieverding & Mathhioudakis, ISSN0377-8312, January 13-17, Rhode Saint Genese, Belgium, Unit 4,
  • 3. Dzida M.: On the possible increasing of efficiency of ship power plant with the system combined of marine diesel engine, gas turbine and steam turbine, at the main engine – steam turbine mode operation, Polish Maritime Research, 1/2009, Vol. 16, Gdańsk, 2009
  • 4. Fodemski T. R., et al.: Heat measurements, Part I and II (in Polish). WNT (Scientific Technical Publishing House),Warsaw 2001
  • 5. Gardzilewicz A., Głuch J., Bogulicz M., Uziębło W.: Correctness control of heat-and-flow measurment data gained from DCS systems of steam electric power plants (in Polish). Materials of 5th Conference on industrial process diagnostics DPP’2003, Władysławowo, 15÷17.09.2003
  • 6. Głuch J.: Set of lectures for steam turbine power plant engineers. Unpublished internal report of Ship Automation and Turbine Propulsion Department, Faculty of Ocean Engineering and Ship Technology, Gdańsk University of Technology, Gdańsk, 2005.
  • 7. Głuch J.: On searching-out incorrect measurements in DCS systems of power objects (in Polish). Materials of The Scientific Conference „Mechanika 2005”, Gdańsk, 04.02.2005
  • 8. Głuch J.: Application of Artificial Neural Networks (ANN) as Multiple Degradation Classifiers in Thermal and Flow Diagnostics, TASK Quarterly 2005 No. 9, Gdańsk, 2005
  • 9. Głuch J.: Control of heat-and-flow measurements in DCS systems of complex power objects (in Polish). Materials of The DPP’05 Conference, Rajgród, 12÷14.09.2005, Pomiary Automatyka Kontrola, Special issue, 09/2005
  • 10. Głuch J.: A method of heat-and-flow diagnostics, which makes it possible to recognize location and degree of degradation of power turbine sets (in Polish), Series „Monographs”, No. 81, Wydawnictwo Politechniki Gdańskiej (Publishing House of Gdańsk University of Technology), Gdańsk, 2007
  • 11. Głuch J.: Fault detection in measuring systems of power plants, Polish Maritime Research, 4/2008, Gdańsk, December 2008
  • 12. Kosowski K.: Some aspects of vibration control; Part I: Active and passive control, Polish Maritime Research, 4/2004 (42), Vol. 11, Gdańsk, 2004
  • 13. Kosowski K.: Some aspects of vibration control; Part II: An optimal active controller, Polish Maritime Research, 1/2005 (43), Vol. 12, Gdańsk, 2005
  • 14. Kościelny J. M.: Development directions of decentralized automation systems (DCS) (in Polish), Pomiary Automatyka Kontrola No. 6/1998
  • 15. Krzyżanowski J., Głuch J.: Heat-and-flow diagnostics of power objects (in Polish). Wydawnictwo Inst. Masz. Przepł. PAN (Publishing House of Institute of Fluid Flow Machinery, Polish Academy of Sciences), Gdańsk, 2004
  • 16. Makal J.: Measurement uncertainty of multi-channel measuring system (in Polish). Pomiary Automatyka Kontrola, No. 9/2001
  • 17. Polska Norma PR (Polish Standards ): PN-EN 60953-1: PR: PN-IEC953-1, PR: PN-EN 60953-2: PR: PN-IEC953-2. Requirements for thermal acceptance tests of steam turbines. Sheet 1 and 2: Methods:A and B (in Polish), December 1998.
  • 18. PTC6: Performance Test Code 6 on Steam Turbines ASME PTC6- 2001, 1996 (Revision of ASME PTC6-1976).
  • 19. Romessis C., Mathioudakis K.: Jet Engine Sensor Validation with Probabilistic Neural Networks. Materials of 5-th European Conference on Turbomachinery, Prague, March 17÷21, 2003
  • 20. Ślęzak-Żołna J.: On the Application of the Artificial Neural Network Method to a Neural Simulator of Steam Turbine Power Plant, Polish Maritime Research, 1/2006, Gdańsk, January 2006
  • 21. Żółtowski B., Ćwik Z.: Lexicon of technical diagnostics (in Polish). Wydawnictwo Uczelniane Akademii Techniczno-Rolniczej (Publishing House of Technical and Agricultural Academy of Bydgoszcz), Bydgoszcz, 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWM4-0028-0052
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