01210nam 2200325 450 991013969430332120171018102112.01-5044-3974-0(CKB)1000000000775713(WaSeSS)IndRDA00079111(NjHacI)991000000000775713(EXLCZ)99100000000077571320171018d1981 || |engur|||||||||||txtrdacontentcrdamediacrrdacarrierAmerican national standard requirements for ventilated dry-type power transformers, 501 kVA and larger, three-phase, with high-voltage 601 to 34 500 volts, low-voltage 208Y/120 to 4160 voltsNew York :IEEE,1981.1 online resource (206 pages)Electric transformersStandardsElectric transformersStandards.621.314WaSeSSWaSeSSDOCUMENT9910139694303321American national standard requirements for ventilated dry-type power transformers, 501 kVA and larger, three-phase, with high-voltage 601 to 34 500 volts, low-voltage 208Y2806168UNINA01556nam 2200349 450 99657494450331620231216084937.01-5044-8643-9(CKB)4100000012874292(NjHacI)994100000012874292(EXLCZ)99410000001287429220231216d2022 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier1407-2021 - IEEE Guide for Accelerated Aging Tests for 5 kV to 46 kV Extruded Electric Power Cables Using Water-Filled Tanks - Redline /IEEENew York :IEEE,2022.1 online resource (102 pages)Provided in this guide are information and recommendations on the equipment, cable specimens, test conditions, test control methodologies, measurements, data analysis, and interpretation in performing accelerated aging tests for 5 kV to 46 kV rated cables using water-filled tanks. The accelerated aging tests may be time-to-failure tests and/or tests in which the samples are aged for fixed times followed by diagnostic testing.AgingTemperature measurementsAging.Temperature measurements.536.5NjHacINjHaclDOCUMENT9965749445033161407-2021 - IEEE Guide for Accelerated Aging Tests for 5 kV to 46 kV Extruded Electric Power Cables Using Water-Filled Tanks - Redline3880628UNISA03551nam 22008415 450 991074338710332120260319100302.0981-16-9708-6981-16-9709-4981-16-9709-410.1007/978-981-16-9709-8(CKB)5100000000193934(MiAaPQ)EBC6858300(Au-PeEL)EBL6858300(DE-He213)978-981-16-9709-8(PPN)262174138(EXLCZ)99510000000019393420220114d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBig Data 9th CCF Conference, BigData 2021, Guangzhou, China, January 8–10, 2022, Revised Selected Papers /edited by Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang1st ed. 2022.Singapore :Springer Nature Singapore :Imprint: Springer,2022.1 online resource (334 pages)Communications in Computer and Information Science,1865-0937 ;1496981-16-9708-6 Big Data Analysis and Applications -- Big Data and Deep Learning -- Big Data Intelligent Algorithms -- Big Data Privacy and Security -- Image and Natural Language Big Data.This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022. The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications. .Communications in Computer and Information Science,1865-0937 ;1496Artificial intelligenceComputer engineeringComputer networksEducationData processingImage processingDigital techniquesComputer visionData structures (Computer science)Information theoryArtificial IntelligenceComputer Engineering and NetworksComputer Engineering and NetworksComputers and EducationComputer Imaging, Vision, Pattern Recognition and GraphicsData Structures and Information TheoryDades massivesthubCongressosthubLlibres electrònicsthubArtificial intelligence.Computer engineering.Computer networks.EducationData processing.Image processingDigital techniques.Computer vision.Data structures (Computer science)Information theory.Artificial Intelligence.Computer Engineering and Networks.Computer Engineering and Networks.Computers and Education.Computer Imaging, Vision, Pattern Recognition and Graphics.Data Structures and Information Theory.Dades massives006.3Liao XiangkeMiAaPQMiAaPQMiAaPQBOOK9910743387103321Big Data1412830UNINA