. . "RIV/00216305:26210/05:PU55270" . "Latina, Petr" . "2005-06-09+02:00"^^ . "517270" . "3"^^ . "DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK" . "26210" . "[9806D429F59C]" . "\u0158\u00EDha, Zbyn\u011Bk" . "3"^^ . . "Neuveden" . "At present time, due the fast development of computer technology, more and more application of modern control methods in the practice appear. As an example the fuzzy logic, neural systems and hybrid systems like fuzzy neural networks can be mentioned. Those methods can be used for diagnostics. Usage of such instruments can not only evaluate the current insulation condition, but also forecast the certain prognoses of the life of insulating material under the specified operational conditions. This contribution deals with prediction of the residual life of the Relanex insulating material for electrical rotary machine windings by use of fuzzy neural networks.In case of prediction, the insulation condition in the future time k+1 is predicted based on the input quantities in the times k, k-1, k-2, etc. Anyway the prediction means forecasting of quantity in future from N previous measurement this or other quantities in the past. The first part of the paper describes the use of artificial fuzzy neural network" . "\u010Cl\u00E1nek pojedn\u00E1v\u00E1 o vyu\u017Eit\u00ED metod um\u011Bl\u00E9 inteligence pro diagnostiku \u017Eivotnosti izola\u010Dn\u00EDch materi\u00E1l\u016F vinut\u00ED elektrick\u00FDch to\u010Div\u00FDch stroj\u016F. Jako vhodn\u00FD n\u00E1stroj zde byly pou\u017Eity fuzzy-neuronov\u00E9 s\u00EDt\u011B jen\u017E spojuj\u00ED v\u00FDhody fuzzy syst\u00E9m\u016F a neuronov\u00FDch s\u00EDt\u00ED. Predikovan\u00FD v\u00FDstup byl sledov\u00E1n p\u0159i pou\u017Eit\u00ED r\u016Fzn\u00FDch u\u010D\u00EDc\u00EDch algoritm\u016F fuzzy-neuronov\u00FDch s\u00EDt\u00ED u nich\u017E byly vhodn\u011B nastaveny jejich parametry jako je po\u010Det skryt\u00FDch vrstev, po\u010Det neuron\u016F v jednotliv\u00FDch vrstv\u00E1ch a vhodn\u00E1 metoda defuzzifikace. Tyto s\u00EDt\u011B byly naprogramov\u00E1ny v programu Matlab verze 6.0, stejn\u011B tak v\u00FDsledky simulac\u00ED byly z\u00EDsk\u00E1ny t\u00EDmto produktem."@cs . "RIV/00216305:26210/05:PU55270!RIV07-MSM-26210___" . . . . "3"^^ . "Z\u00C1VYSLOST P\u0158EDPOV\u011A\u010EI \u017DIVOTNOSTI IZOLA\u010CN\u00CDHO MATERI\u00C1LU NA TYPU FUZZY NEUROV\u00C9 S\u00CDT\u011A"@cs . "Sibiu, Romania" . "Z\u00C1VYSLOST P\u0158EDPOV\u011A\u010EI \u017DIVOTNOSTI IZOLA\u010CN\u00CDHO MATERI\u00C1LU NA TYPU FUZZY NEUROV\u00C9 S\u00CDT\u011A"@cs . . "DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK" . . . "Hammer, Milo\u0161" . "DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK"@en . . . "UBR-CORR Studa and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids" . . . "160-162" . "At present time, due the fast development of computer technology, more and more application of modern control methods in the practice appear. As an example the fuzzy logic, neural systems and hybrid systems like fuzzy neural networks can be mentioned. Those methods can be used for diagnostics. Usage of such instruments can not only evaluate the current insulation condition, but also forecast the certain prognoses of the life of insulating material under the specified operational conditions. This contribution deals with prediction of the residual life of the Relanex insulating material for electrical rotary machine windings by use of fuzzy neural networks.In case of prediction, the insulation condition in the future time k+1 is predicted based on the input quantities in the times k, k-1, k-2, etc. Anyway the prediction means forecasting of quantity in future from N previous measurement this or other quantities in the past. The first part of the paper describes the use of artificial fuzzy neural network"@en . . "973-718-259-6" . . . "S, Z(MSM4977751310)" . "Bucharest" . . "Fuzzy, Neural Network, Prediction, Diagnostics"@en . . . . "DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK"@en .