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Fault detection in measuring systems of power plants

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Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes possibility of forming diagnostic relations based on application of the artifical neural networks (ANNs), intended for the identifying of degradation of measuring instruments used in developed power systems. As an example a steam turbine high-power plant was used. And, simulative calculations were applied to forming diagnostic neural relations. Both degradation of the measuring instruments and simultaneously occurring degradation of the measuring instruments and thermal cycle component devices, were taken into account. Good quality of diagnostic neural relations was stated. They make it possible to distinguish degradation of measuring instruments from degradation of thermal cycle components. The calculated errors of identification of dergraded devices and measuring instruments in the case of simultaneous occurence of three different degradations were on the level of 0.25 %. Performance of the relations was presented by using an example based on industrial practice.
Rocznik
Tom
Strony
45--51
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
  • Faculty of Ocean Engineering and Ship Technology, Gdańsk University of Technology Narutowicza 11/12 80-952 Gdańsk, POLAND, jgluch@pg.gda.pl
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, p. 161-164
  • 2. Demuth H., Beale M.: Neural Network Toolbox for use with Matlab, Natick: The Math Works Inc. 1996
  • 3. Dewaleff P., Leonard O.: On-Line Measurement Validation and Performance Monitoring Using Robust Kalman Filtering Techniques, W: (In materials of) 5-th European Conference on Turbomachinery, Prague, March 17-21, 2003, p.345-346
  • 4. Doel D. L.: Sample Analyses Including Interpretation of Residual Error, VKI Lectures on Gas Turbine Condition Monitoring & Fault Diagnosis, Ed. Sieverding & Mathhioudakis, ISSN0377-8312, January 13-17, Rhode Saint Genese, Belgium, Unit 4
  • 5. Fodemski T. R., et al.: Thermal measurements, Part 1 and 2 (in Polish), WNT (Scientific Technical Publishing House), Warsaw 2001
  • 6. Gardzilewicz A., Głuch J., Bogulicz M., Uziębło W.: Correctness control of thermal fluid flow measurement data achieved from DCS systems of steam-turbine electric power stations (in Polish), W: (In materials of) 5th Conference on diagnostics of industrial processes DPP’2003, Władysławowo, 15-17 September 2003, p. 391-396
  • 7. Głuch J.: On detection of incorrect measurements in DCS systems of power objects (in Polish), W: (In materials of) The Scientific Conference MECHANIKA 2005, Gdańsk, 4 February 2005, p. 75-81
  • 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, p. 1001-1012
  • 9. Głuch J.: Control of thermal-and-flow measurements in DCS systems of complex power objects (in Polish), (In materials of) The Conference DPP’05, Rajgród, 12-14 September 2005, Special Issue of the journal Pomiary Automatyka Kontrola, No. 9/2005, p. 170-172
  • 10. Głuch J.: A method of thermal-and-flow diagnostics capable of identifying of location and degree of degradation of turbine power units (in Polish) Series: Monographs, No. 81, Wydawnictwo Politechniki Gdańskiej (Publishing House of Gdańsk University of Technology), Gdańsk 2007
  • 11. IEC: IEC International Standard CEI IEC 953-1 i 953-2, Rules for Steam Turbine Thermal Acceptance Tests, Part 1 and Part 2, First Edition 1990.
  • 12. Kosowski K.: Some aspects of vibration control; Part I: Active and passive control, Polish Maritime Research, 4/2004 (42), Vol. 11, Gdańsk, 2004, p. 22-27
  • 13. Kosowski K.: Some aspects of vibration control; Part II: An optimal active controller, Polish Maritime Research, 1/2005 (43), Vol. 12, Gdańsk, 2005, p. 28-31
  • 14. Kościelny J. M.: Directions of development of decentralized control systems (DCS) (in Polish), Pomiary Automatyka Kontrola No. 6/1998, p. 207-210
  • 15. Krzyżanowski J., Głuch J.: Thermal-and-flow diagnostics of power objects (in Polish), Wydawnictwo Inst. Masz. Przepł. PAN (Publishing House of the 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, p. 5-7
  • 17. Michalski L., Eckersdorf K.: Temperature measurements (in Polish), WNT (Scientific Technical Publishing House),Warsaw 1986
  • 18. Polish Standards: PR: PN-EN 60953-1: PR: PN-IEC953-1, PR: PN-EN 60953-2: PR: PN-IEC953-2,. Requirements for thermal performance tests of steam turbines (in Polish). Sheet 1 and 2: Methods A and B, December 1998
  • 19. PTC6: Performance Test Code 6 on Steam Turbines ASME PTC6-2001, 1996 (Revision of ASME PTC6-1976)
  • 20. Romessis C., Mathioudakis K., Jet Engine Sensor Validation with Probabilistic Neural Networks, W: (In materials of) 5-th European Conference on Turbomachinery, Prague March 17-21, 2003, p. 369-380
  • 21. Rusinowski H., Szega M., Ziębik A., Majchrzak H, Szweda J.: Operational control system of the power unit No. 4 installed in Opole Power Station, to which compensation calculus methods are applied (in Polish), (In materials of) The Conference PBEC’2001, Zesz. Nauk. Polit. Warszawskiej(Scientific Bulletins of Warsaw University of Technology) No. 190, 2001, p. 249-260
  • 22. Witoś M.: Measurement line diagnosing in dispersed control systems (in Polish), (In materials of:) 5th Domestic Conference DPP’2001, Łag, 17-19 September 2001, p. 377-380
  • 23. Żółtowski B., Ćwik Z.: Lexicon of technical diagnostics (in Polish), Wydawnictwo Uczelniane Akademii Techniczno- Rolniczej (Publishing House of Technical-Agricultural Academy of Bydgoszcz), Bydgoszcz 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWM4-0023-0010
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