Monitoring and diagnostic system for high power turbine units

• Autorzy: Uhl T. , Cholewa W. , Kiciński J. , Sobera H. , Rydz E.
• Języki publikacji: EN

Abstrakty

EN

The paper presents new design of monitoring and diagnostic system for steam turbine unit. The system is designed as modular and can be relatively easy extended with new hardware and software modules. The system has distributed architecture based on computer network information simultaneously. The system is equipped with high end expert system based on artificial intelligent algorithms. Performance has been tested on 200 MW turbine unit and it operates successfully at Kozienice power plant for longer then 5 years.

Słowa kluczowe

EN

diagnostic and monitoring system; expert system; vibrodiagnostics; Software for diagnostic systems

• Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN
• Czasopismo: Transactions of the Institute of Fluid-Flow Machinery
• Rocznik: 2003
• Tom: nr 113
• Strony: 51--66
• Opis fizyczny: Bibliogr. 18 poz., wykr.

Twórcy

autor

Uhl T.

• University of Science and Technology - AGH, Mickiewicza 30, 30-059 Kraków, Poland

autor

Cholewa W.

• Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, Poland

autor

Kiciński J.

• Institute of Fluid Flow Machinery PAS, Fiszera 14, 80-231 Gdańsk, Poland

autor

Sobera H.

• Power Plant Kozienice (Elektrownia "Kozienice" S. A.), 26-911 Świerże Górne, Poland

autor

Rydz E.

• Power Plant Kozienice (Elektrownia "Kozienice" S. A.), 26-911 Świerże Górne, Poland

Bibliografia

• [1] J. Kiciński, W. Cholewa: Diagnostic System DT200-1 for Large Power (200 MW) Turbosets,IFFM Publishers, Gdańsk 1998
• [2] Uhl T: Deaelopment tendencies in monitoring and diagnosing of mechanical systems, PAK, No. 4, 1999, (in Polish)
• [3] Czech M, Uhl T,: Implementation of real-time operating system RT-LINUX in data acquisition applications, Computer Methods in Design and Research, Kraków, 1999 (in Polish).
• [4] Petko M., Bogacz M,, Uhl T.: Implementation of signal processors in monitoring of industrial objects, Computer Methods in Design and Research, Kraków, 1999 (in Polish),
• [5] Uhl T., Barszcz T., Bogacz M., Hanc A: Results of application of DSP in vibrodiagnostics system,, Proc. of the II Int. Conf.. Diagnostyka 2000,Warsza,wa 2000.
• [6] Uhl T., Barszcz T., Miękinia, The role of software engineering and diagnostics of machinery, Proc. of the II Int. Conf,, Diagnostyka 2000, Warszawa 2000.
• [7] J. Kiciński: Nonlinear model of vibration in rotor/bearings system - calculation algorithm, Machine Dynamics Problems. Vol. 15, 1996, 45-60.
• [8] J. Kiciński, R. Drozdowski, P. Materny: The nonlinear analysis of the effect of support construction properties on the dynamic properties of multi,-support rotor systems, J. of Sound & Vibration (1997) 206(4),523-539,
• [9] J. Kiciński, R. Drozdowski, P. Materny: Nonlinear model of vibrations in a rotor - bearings system, J. of Vibration & Control, VoI. 4, No. 5, 1998, 519-540.
• [10] J. Kiciński, A. Markiewicz - Kicińska: Coupled nonlinear vibrations in multisupport rotors founded on slide bearing, Proc. of the VETOMAC-1 Conference, Bangalore, INDIA, 2000, (on CD, pos. CP 047
• [11] UhI T. Development tendencies in monitoring and diagnosing of mechanical systems, PAK, No. 4, 1999, (in Polish)
• [12] Cholewa W.: Real-time expert systems for technical diagnostic, Proc, of the 15th IMACS World Congress on Scientific Computation, Modeling and Applied Mathematics, Berlin 1997, Vol. 6,775-720.
• [13] Cholewa W,: Real time diagnostic expert systems for steam turbines, KARNTEKNIK, Stockholm 2000,20, p.22.
• [14] Cholewa W.: Blackboards ,in diagnostic expert systems, Pomiary, Automatyka, Kontrola 4198, 123-728, (in Polish)
• [15] Moczulski W.: Methodology of knowledge acquisition tor machinery diagnostics, Computer Assisted Mechanics and Engineering Sciences, Vol. 6, No. 2, 163-175.
• [16] Cholewa W.: Genetic approach to inverse diagnostic modelling, PPAM'99, Kazimierz Dolny 1999, 510-524.
• [17] Cholewa W.: Example-based,inuerse diagnosti,c models, Bulletin of the Polish Academy of Sciences, Technical Sciences, Vol. 49, No. 2, 200L, 359-377.
• [18] Cholewa W., Kiciński J.: Technical Diagnostics. Inverse Diagnostic Models, Wyd. Politechniki Śląskiej, Gliwice 1997, (in Polish).