Vibration diagnostics of wind-driven power units with usage of statistical expert systems

• Autorzy: Marchenko N. , Myslovitch M. , Sysak R.

Warianty tytułu

PL

Diagnostyka wibracji elektrowni wiatrowych przy pomocy systemów ekspertowych

• Konferencja: Międzynarodowe Warsztaty "Computational Problems of Electrical Engineering"
• Języki publikacji: EN

Abstrakty

EN

The main principles, the structure and the use of the prototype of the system for the technical diagnostics of wind-driven power units are discussed.

PL

W pracy opisano budowę i zastosowanie systemu ekspertowego do diagnostyki elektrowni wiatrowych.

Słowa kluczowe

EN

diagnostic; wind power plant; expert system

PL

elektrownia wiatrowa; diagnostyka; system ekspertowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2005
• Tom: R. 81, nr 2
• Strony: 53--57
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Marchenko N.

• Institute of Electrodynamics, National Academy of Sciences of Ukraine, Peremogy av. 56, Kiev-57, 03680, Ukraine

autor

Myslovitch M.

• Institute of Electrodynamics, National Academy of Sciences of Ukraine, Peremogy av. 56, Kiev-57, 03680, Ukraine

autor

Sysak R.

• Institute of Electrodynamics, National Academy of Sciences of Ukraine, Peremogy av. 56, Kiev-57, 03680, Ukraine

Bibliografia

• [1] Isles J. Servicing for the long term. Power Engineering International. November 2003, pp. 36-40.
• [2] Martchenko B.G. Linear Periodic Processes // Proc. of the Institute of electrodynamics of the Ukrainian NAS. Electrical engineering. – Kiev, 1999. – PP. 172 – 185 (in Ukrainian).
• [3] Martchenko B.G. Method of Stochastic Integral Representations and Its Applications in Radioengineering. Naukova Dumka, 1973, Kiev (in Russian).
• [4] Martchenko B.G., Myslovitch M.V. Vibratory Diagnostic of Bearing Units of Electrical Machines, Naukova Dumka, 1992, Kiev (in Russian).
• [5] Martchenko B.G., Myslovitch M.V., Zvaritch V.N. Stochastically periodical random processes used as models of information signals. Radioelectronics and Communication Systems, Allerton Press., 1995, Vol. 38, pp. 29-32.
• [6] Martchenko B.G., Myslovitch M.V., Zvaritch V.N. The models of random periodic information signals on the white noise bases, Appl. Math. Lett. Pergamon Press Ltd., 1995, 8, pp. 87-89.
• [7] Martchenko B.G., Myslovitch M.V., Zvaritch V.N. Vibration Signal Expert System for Fault Detection of Power Equipment Rolling Bearings. IFAC 14 World Congress, Beijing, China, July 5-9, 1999. Vol. - 9. PP. 181-186.
• [8] Martchenko B.G., Myslovitch M.V., Zvaritch V.N. White noise in information signal models // Applied Mathematics Letters, Pergamon Press Ltd., 1994, Vol. 7, pp. 93-95.
• [9] Martchenko B.G., Zvaritch V.N. Linear autoregressive processes in the vibration diagnosis problems of electrical machine units. Technical Diagnosis and Nondestructive Testing, Riesansky Science Publishing Co. 1996, Vol. 8, No.1, pp. 38-44.
• [10] Slutskiy Y.Y., Selected Papers. Izdatelstvo AN SSSR, 1960, (in Russian).
• [11] Zvaritch V.N., Myslovitch M.V., Sysak R.M., Fedoza A.A., Shulga V.G. Expert system of wind energy aggregates diagnostics with application of surface acoustic waves transducers // Technical electrodynamics. Special issue. Simulation of electric systems, power engineering systems and technology systems. Part 1. – 1999. – P. 42–47 (in Russian).
• [12] Zvaritch V.N. Some Methods of Statistical Analysis for EIS Information Signals. Information Technology for Energy Managers / by Ed. of Barney L. Capehart, Fairmont Press Inc., 2004, pp.183-193.