LEADER 02122nam 2200373 450 001 9910135771303321 005 20231206190631.0 010 $a0-7381-4291-3 024 7 $a10.1109/IEEESTD.1988.81682 035 $a(CKB)3780000000089293 035 $a(NjHacI)993780000000089293 035 $a(EXLCZ)993780000000089293 100 $a20231206d1988 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aANSI/IEEE Std C57.110-1986 $eIEEE Recommended Practice for Establishing Transformer Capability When Supplying Non-sinusoidal Load Currents /$fInstitute of Electrical and Electronics Engineers 210 1$aNew York, New York :$cIEEE,$d1988. 215 $a1 online resource 330 $aThe purpose of the report is to establish uniform methods for determining the capability of transformers to supply nonsinusoidal load currents, without loss of normal life expectancy. Two methods are described. The first is intended for use by those with access to detailed information on loss density distribution within the transformer windings. The second is less accurate and is intended for use by those with access to transformer certified test report data only. It is anticipated that the first method will be used primarily by transformer design engineers, while the second will be employed primarily by users. This recommended practice will be applicable for evaluating the feasibility of applying nonsinusoidal load currents to existing transformers and for specifying new transformers to supply nonsinusoidal loads. 517 $aANSI/IEEE Std C57.110-1986: IEEE Recommended Practice for Establishing Transformer Capability When Supplying Non-sinusoidal Load Currents 606 $aTransients (Electricity) 606 $aElectric transformers$xWindings 615 0$aTransients (Electricity) 615 0$aElectric transformers$xWindings. 676 $a621.314 801 0$bNjHacI 801 1$bNjHacl 906 $aDOCUMENT 912 $a9910135771303321 996 $aANSI$92072434 997 $aUNINA LEADER 02248nam0 2200481 i 450 001 VAN0066668 005 20211117112258.970 010 $a978-35-406-9391-8 100 $a20090112d2008 |0itac50 ba 101 $aeng 102 $aDE 105 $a|||| ||||| 200 1 $aInformation geometry$enear randomness and near independence$fKhadiga A. Arwini, Christopher T. J. Dodson 210 $aBerlin$cSpringer$d2008 215 $aX, 253 p.$d24 cm 300 $aPubblicazione disponibile anche in formato elettronico 461 1$1001VAN0102250$12001 $aLecture notes in mathematics$1210 $aBerlin [etc.]$cSpringer$v1953 500 1$3VAN0234620$aInformation geometry : near randomness and near independence$92983376 606 $a60Dxx$xGeometric probability and stochastic geometry [MSC 2020]$3VANC020491$2MF 606 $a62B10$xStatistical aspects of information-theoretic topics [MSC 2020]$3VANC021208$2MF 606 $a53B50$xApplications of local differential geometry to the sciences [MSC 2020]$3VANC023316$2MF 606 $a92D20$xProtein sequences, DNA sequences [MSC 2020]$3VANC025581$2MF 606 $a74E35$xRandom structure in solid mechanics [MSC 2020]$3VANC029371$2MF 610 $aClustering$9KW:K 610 $aCommunication$9KW:K 610 $aDifferential geometry$9KW:K 610 $aHydrology$9KW:K 610 $aInformation Theory$9KW:K 610 $aMathematical statistics$9KW:K 610 $aRiemannian geometry$9KW:K 610 $aSignal$9KW:K 610 $aStatistics$9KW:K 620 $dBerlin$3VANL000066 700 1$aArwini$bKhadiga A.$3VANV053018$0315797 701 1$aDodson$bCristopher T. J.$3VANV044537$0755232 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-540-69393-2$zhttps://doi.org/10.1007/978-3-540-69393-2 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $aVAN0066668 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 53-XX 0164 $e08 8460 I 20090112 996 $aInformation geometry : near randomness and near independence$92983376 997 $aUNICAMPANIA