Influence of fuzzy predictor parameters on the prediction of the residual lifetime of electrical rotary machine insulation

• Autorzy: Hammer M. , Svoboda J. , Szabo R. , Riha Z. , Latina P. , Vavruska J.
• Konferencja: APTADM'2004, II International Conference on Advances in Processing Testing and Application of Dielectric Materials (September, 15-17, 2004, Wrocław, Poland)
• Języki publikacji: EN

Abstrakty

EN

The contribution deals with the lifetime prediction of the Relanex insulating material used for the electrical rotary machine windings. By means of quantities B_v, B_a, U_k and utilizing the fuzzy apparatus in the form of fuzzy predictor, we determine the intensity of breakdown voltage and, consequently, the current state of the insulating material from the point of view of electric strength and the lifetime prediction of the material. To predict the breakdown voltage intensity, the fuzzy predictor of Sugeno type was used, particularly for easy setting of input parameters. According to the matrix of the values of individual inputs (B_v, B_a, U_k, U_p) measured and the subsequent training phase, it is possible to predict the values of critical voltage U_ps that can be further compared with real breakdown voltages U_p and to make evaluations on the basis of relative and absolute errors.

Słowa kluczowe

EN

prediction; insulating material; diagnostics; fuzzy; Sugeno

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Prace Naukowe Instytutu Podstaw Elektrotechniki i Elektrotechnologii Politechniki Wrocławskiej. Konferencje
• Rocznik: 2004
• Tom: Vol. 40, nr 15
• Strony: 204--207
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Hammer M.

• Brno University of Technology, Faculty of Mechanical Engineering, Institute of Production Machines, Systems and Robotics, Technicka 2896/2, Brno, 616 69, Czech Republic

autor

Svoboda J.

• Brno University of Technology, Faculty of Mechanical Engineering, Institute of Production Machines, Systems and Robotics, Technicka 2896/2, Brno, 616 69, Czech Republic

autor

Szabo R.

• Brno University of Technology, Faculty of Mechanical Engineering, Institute of Production Machines, Systems and Robotics, Technicka 2896/2, Brno, 616 69, Czech Republic

autor

Riha Z.

• Brno University of Technology, Faculty of Mechanical Engineering, Institute of Production Machines, Systems and Robotics, Technicka 2896/2, Brno, 616 69, Czech Republic

autor

Latina P.

• Brno University of Technology, Faculty of Mechanical Engineering, Institute of Production Machines, Systems and Robotics, Technicka 2896/2, Brno, 616 69, Czech Republic

autor

Vavruska J.

• Brno University of Technology, Faculty of Mechanical Engineering, Institute of Production Machines, Systems and Robotics, Technicka 2896/2, Brno, 616 69, Czech Republic

Bibliografia

• [1] HAMMER M., Essence and Verification of Diagnostic Methods „DIAGO 2002", Ostrava 2002.
• [2] NOVÁK V., Fuzzy Sets and Their Application. SNTL, Prague 1986.
• [3] JURA P., Fundaments of Fuzzy Logic for Controlling and Modelling. FEI VUT, Brno 1998.
• [4] HAMMER M., KRATOCHVIL P., Genetic Algorithms and Diagnostics of Insulating Materials. Elektro proceedings, Žilina 2001.
• [5] HLÁVKA J., Diagnosis of Electrical Insulation on the Basis of Resistance Measuring. Report of EZU Prague, 1978.
• [6] HAMMER M., KOZLOVSKY T., KRATOCHVIL P., BAROS, M., Neural Network and the Life of Insulating Material for Windings in Electric Rotary Machines. In: 12th International Conference on Flexibile Automation and Inteligent Manufacturing, Dresden, Germany 2002, pp. 55-63, 2002.
• [7] HAMMER M., KOZLOVSKY T., KRATOCHVIL P, BAROS M., Neural networks in the process of diagnostics. In: Scientific Colloquium on High Voltage Engineerings, Kosice, Slovakia 2002, pp. 67-73, 2002.
• [8] HAMMER M., KOZLOVSKÝ T., KRATOCHVÍL P., BAROŠ M., Fuzzy model optimization by a genetic algorithm - ICIT 2003 (4th International Conference on Industrial Tools), SLOVENIA 2003, pp. 377-380. ISBN 961-90401-7-1.