"P(GA102/03/0621)" . "19-22" . . . "1"^^ . "2003-09-22+02:00"^^ . . "RIV/00216305:26210/03:PU42118" . "Hammer, Milo\u0161" . . "4"^^ . "ČR Plzeň" . "Neuronov\u00E1 s\u00EDť jako prediktor zbytkov\u00E9 \u017Eivotnosti izolačn\u00EDch materi\u00E1lů vinut\u00ED elektrick\u00FDch strojů" . "80-7082-952-4" . "RIV/00216305:26210/03:PU42118!RIV06-GA0-26210___" . "Neural network as predictor of residual gases of lifetime of insulative materials winding of electrical michines"@en . . . "Neuronov\u00E1 s\u00EDť jako prediktor zbytkov\u00E9 \u017Eivotnosti izolačn\u00EDch materi\u00E1lů vinut\u00ED elektrick\u00FDch strojů"@cs . "V dne\u0161n\u00ED modern\u00ED dob\u011B, kter\u00E1 se vyzna\u010Duje technick\u00FDm r\u016Fstem a rozvojem je nezbytn\u011B nutn\u00E9 zajistit extenzivn\u00ED a intenzivn\u00ED vyu\u017Eit\u00ED technick\u00FDch prost\u0159edk\u016F a za\u0159\u00EDzen\u00ED. Ka\u017Ed\u00FD konkurence schopn\u00FD v\u00FDrobn\u00ED proces se neobejde bez nutn\u00E9 kontroly a \u00FAdr\u017Eby v\u00FDrobn\u00EDchza\u0159\u00EDzen\u00ED, nebo\u0165 ka\u017Ed\u00E1 ne\u010Dekan\u00E1 z\u00E1vada nebo porucha m\u016F\u017Ee zna\u010Dn\u011B ovlivnit v\u00FDrobn\u00ED produkci, zisk a \u017Eivotaschopnost v\u00FDroby. Ot\u00E1zka \u017Eivotnosti a spolehlivosti izola\u010Dn\u00EDch materi\u00E1l\u016F elektrick\u00FDch stroj\u016F to\u010Div\u00FDch je velmi d\u016Fle\u017Eit\u00E1, nebo\u0165 izola\u010Dn\u00ED materi\u00E1l, u ellektrick\u00FDch stroj\u016F pak izolace vinut\u00ED stroje, pat\u0159\u00ED k nejcitliv\u011Bj\u0161\u00ED a nejn\u00E1kladn\u011Bj\u0161\u00ED \u010D\u00E1sti elektrick\u00E9ho za\u0159\u00EDzen\u00ED. Z tohoto d\u016Fvodu se vyv\u00EDjej\u00ED nov\u00E9 a zdokonaluj\u00ED ji\u017E zn\u00E1m\u00E9 diagnostick\u00E9 metody, kter\u00E9 zhodnocuj\u00ED stav izola\u010Dn\u00EDho syst\u00E9mu stroje v provozn\u00EDch podm\u00EDnk\u00E1ch. Nejprogresivn\u011Bj\u0161\u00EDmi z diagnostick\u00FDch metod jsou pak ty, kter\u00E9 nejen zhodnocuj\u00ED sou\u010Dasn\u00FD stav izolace, ale sou\u010Dasn\u011B umo\u017E\u0148uj\u00ED ur\u010Ditou progn\u00F3zu jej\u00ED \u017Eivotnosti v dann\u00FDch provozn\u00EDch podm\u00EDnk\u00E1ch."@cs . "617750" . . . "Neuronov\u00E1 s\u00EDť jako prediktor zbytkov\u00E9 \u017Eivotnosti izolačn\u00EDch materi\u00E1lů vinut\u00ED elektrick\u00FDch strojů" . "Diagnostika 2003" . . "Ne\u010Dtiny" . . . "26210" . "In this modern time, which is marked by technical growth and development is necessary to ensure extensive and high-powered utilization of technical resources and estabilishment. Every competitive industrial process have to has verification and servicingof production facility, because every unexpectedly trouble or disorder can considerably affect production performance, gain and viability of production. The question of lifetime and credibility gap of insulating materials of electric rotary machine isvery important, because insulating material, near electrical machine then winding insulation of machinery, is part of best-more sensitive and most expensivei part of electric arrangement. That is why the diagnostic method are develpment and innovate, they appreciate state of insulative system of machinery in service conditions. The most progresive from this method are those, which can estimate state of the isolation and in the same time can explicite prognosis of lifetime in service conditions."@en . "Neuronov\u00E1 s\u00EDť jako prediktor zbytkov\u00E9 \u017Eivotnosti izolačn\u00EDch materi\u00E1lů vinut\u00ED elektrick\u00FDch strojů"@cs . . . . . . "Prediction, lifetime, neural networks, artifical intelligence, diagnostics"@en . . "[7EE7FA55BA7F]" . . "Neural network as predictor of residual gases of lifetime of insulative materials winding of electrical michines"@en . "Z\u00E1pado\u010Desk\u00E1 univerzita v Plzni" . "1"^^ . "V dne\u0161n\u00ED modern\u00ED dob\u011B, kter\u00E1 se vyzna\u010Duje technick\u00FDm r\u016Fstem a rozvojem je nezbytn\u011B nutn\u00E9 zajistit extenzivn\u00ED a intenzivn\u00ED vyu\u017Eit\u00ED technick\u00FDch prost\u0159edk\u016F a za\u0159\u00EDzen\u00ED. Ka\u017Ed\u00FD konkurence schopn\u00FD v\u00FDrobn\u00ED proces se neobejde bez nutn\u00E9 kontroly a \u00FAdr\u017Eby v\u00FDrobn\u00EDchza\u0159\u00EDzen\u00ED, nebo\u0165 ka\u017Ed\u00E1 ne\u010Dekan\u00E1 z\u00E1vada nebo porucha m\u016F\u017Ee zna\u010Dn\u011B ovlivnit v\u00FDrobn\u00ED produkci, zisk a \u017Eivotaschopnost v\u00FDroby. Ot\u00E1zka \u017Eivotnosti a spolehlivosti izola\u010Dn\u00EDch materi\u00E1l\u016F elektrick\u00FDch stroj\u016F to\u010Div\u00FDch je velmi d\u016Fle\u017Eit\u00E1, nebo\u0165 izola\u010Dn\u00ED materi\u00E1l, u ellektrick\u00FDch stroj\u016F pak izolace vinut\u00ED stroje, pat\u0159\u00ED k nejcitliv\u011Bj\u0161\u00ED a nejn\u00E1kladn\u011Bj\u0161\u00ED \u010D\u00E1sti elektrick\u00E9ho za\u0159\u00EDzen\u00ED. Z tohoto d\u016Fvodu se vyv\u00EDjej\u00ED nov\u00E9 a zdokonaluj\u00ED ji\u017E zn\u00E1m\u00E9 diagnostick\u00E9 metody, kter\u00E9 zhodnocuj\u00ED stav izola\u010Dn\u00EDho syst\u00E9mu stroje v provozn\u00EDch podm\u00EDnk\u00E1ch. Nejprogresivn\u011Bj\u0161\u00EDmi z diagnostick\u00FDch metod jsou pak ty, kter\u00E9 nejen zhodnocuj\u00ED sou\u010Dasn\u00FD stav izolace, ale sou\u010Dasn\u011B umo\u017E\u0148uj\u00ED ur\u010Ditou progn\u00F3zu jej\u00ED \u017Eivotnosti v dann\u00FDch provozn\u00EDch podm\u00EDnk\u00E1ch." .