"3"^^ . "3"^^ . "Sibiu, Romania" . . . "Latina, Petr" . "S, Z(MSM4977751310)" . "V dne\u0161n\u00ED dob\u011B pat\u0159\u00ED metody um\u011Bl\u00E9 inteligence mezi vhodn\u00E9 n\u00E1stroje pro predikci a simulaci technick\u00FDch soustav. Touto soustavou pak m\u016F\u017Ee b\u00FDt elektrick\u00FD to\u010Div\u00FD stroj u n\u011Bho\u017E vy\u017Eadujeme predikci jeho \u017Eivotnosti. Mezi nejcitliv\u011Bj\u0161\u00ED a nejn\u00E1kladn\u011Bj\u0161\u00ED \u010D\u00E1sti takov\u00E9ho stroje pak pat\u0159\u00ED izolace jeho vinut\u00ED. \u010Cl\u00E1nek se zab\u00FDv\u00E1 diagnostikou izola\u010Dn\u00EDch materi\u00E1l\u016F elektrick\u00FDch stroj\u016F to\u010Div\u00FDch s vyu\u017Eit\u00EDm fuzzy-neuronov\u00FDch s\u00EDt\u00ED a vlivem vstupn\u00EDch veli\u010Din na v\u00FDsledek predikce a simulace izola\u010Dn\u00EDho materi\u00E1lu, kter\u00FD je v nich pou\u017Eit. Vstupn\u00ED data tvo\u0159\u00ED koeficient Ba (aktiva\u010Dn\u00ED energie polariza\u010Dn\u00EDho d\u011Bje), Bv (aktiva\u010Dn\u00ED energie vodivostn\u00EDho d\u011Bje) a koeficient Uk co\u017E je parametr ur\u010Duj\u00EDc\u00ED kritick\u00E9 nap\u011Bt\u00ED. Tyto data jsou z\u00EDsk\u00E1na nedestruktivn\u00EDm m\u011B\u0159en\u00EDm na vzorc\u00EDch izola\u010Dn\u00EDho materi\u00E1lu. Toto jsou hlavn\u00ED p\u0159edpoklady k predikci koeficientu Up (pr\u016Frazn\u00E9 nap\u011Bt\u00ED), kter\u00FD charakterizuje \u017Eivotnost izola\u010Dn\u00EDho materi\u00E1lu a tedy cel\u00E9ho motoru"@cs . . . "INFLUENCE OF FUZZY NEURAL NETWORK INPUT PARAMETERS ON MODELING PROCESS OF INSULATIVE MATERIAL"@en . "Bucharest" . . . "Neuveden" . "VLIV VSTUPN\u00CDCH PARAMETR\u016E FUZZY NEURONOV\u00C1 S\u00CDT\u011A NA MODELOV\u00C1N\u00CD PROCESU IZOLA\u010CN\u00CDHO MATERI\u00C1LU"@cs . "Hammer, Milo\u0161" . "153-155" . "26210" . "Fuzzy Neural Network, Diagnostics, Simulation, Lifetime Insulating Material"@en . . . "UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids" . . . "INFLUENCE OF FUZZY NEURAL NETWORK INPUT PARAMETERS ON MODELING PROCESS OF INSULATIVE MATERIAL" . . "[FE33DB9DD4B7]" . "VLIV VSTUPN\u00CDCH PARAMETR\u016E FUZZY NEURONOV\u00C1 S\u00CDT\u011A NA MODELOV\u00C1N\u00CD PROCESU IZOLA\u010CN\u00CDHO MATERI\u00C1LU"@cs . "2005-06-09+02:00"^^ . "3"^^ . . . "RIV/00216305:26210/05:PU55274!RIV07-MSM-26210___" . "524693" . "\u0158\u00EDha, Zbyn\u011Bk" . "Well timed diagnostics of functional state of production machines is still very important in this time. We are focused on problem of degradation procedure inside insulative systems. The paper deals with the the effect of the input values on the result of modeling process of insulating material. The input data consist of coefficients Ba (activation energy of a polarization action), Bv (activation energy of a conduction action) and Uk, being a parameter that determines critical voltage. The input data was obtained by non-destructive measurement method on insulating material samples in laboratory environment. They are the main prerequisites for the modeling of coefficient Up (break-down voltage) that characterizes the lifetime of the insulating material and, therefore, the whole motor. The fuzzy neural networks were programmed in the Matlab 6.5 environment and the results of simulations were obtained using the same product."@en . . "973-718-259-6" . . . . . "INFLUENCE OF FUZZY NEURAL NETWORK INPUT PARAMETERS ON MODELING PROCESS OF INSULATIVE MATERIAL" . . "INFLUENCE OF FUZZY NEURAL NETWORK INPUT PARAMETERS ON MODELING PROCESS OF INSULATIVE MATERIAL"@en . "RIV/00216305:26210/05:PU55274" . . "Well timed diagnostics of functional state of production machines is still very important in this time. We are focused on problem of degradation procedure inside insulative systems. The paper deals with the the effect of the input values on the result of modeling process of insulating material. The input data consist of coefficients Ba (activation energy of a polarization action), Bv (activation energy of a conduction action) and Uk, being a parameter that determines critical voltage. The input data was obtained by non-destructive measurement method on insulating material samples in laboratory environment. They are the main prerequisites for the modeling of coefficient Up (break-down voltage) that characterizes the lifetime of the insulating material and, therefore, the whole motor. The fuzzy neural networks were programmed in the Matlab 6.5 environment and the results of simulations were obtained using the same product." .