{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2c5ca90c66dfe3d5366e22e06e568dda1/annettegugel", "tags" : [ "Sensitivity","analysis","and","classification","components","detection","different","extent","faults.","for","function","location","of","transfer","transformer","type," ], "intraHash" : "c5ca90c66dfe3d5366e22e06e568dda1", "interHash" : "3ea83d1bfd07bde1b6cd440e26aef908", "label" : "Sensitivity analysis of different components of transfer function for detection and classification of type, location and extent of transformer faults.", "user" : "annettegugel", "description" : "", "date" : "2022-02-14 14:42:01", "changeDate" : "2022-02-14 13:42:01", "count" : 1, "pub-type": "article", "journal": "Measurement", "year": "2021", "url": "", "author": [ "H. Tarimoradi","H. Karami","G.B. Gharehpetian","S. Tenbohlen" ], "authors": [ {"first" : "H.", "last" : "Tarimoradi"}, {"first" : "H.", "last" : "Karami"}, {"first" : "G.B.", "last" : "Gharehpetian"}, {"first" : "S.", "last" : "Tenbohlen"} ], "volume": "187","number": "110292", "issn" : "0263-2241", "doi" : "10.1016/j.measurement.2021.110292", "bibtexKey": "tarimoradi2021sensitivity" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/26dc4db1dd0e0f65955a13ff3febfe92c/annettegugel", "tags" : [ "(HV)","25","Bench","CISPR","Currents","Disturbance","Drive","Electric","Emissions","Estimated","Functionssend:unibiblio","Radiated","Systemautomotive","Transfer","Using","a","an","and","distributed","drive","electric","emission","estimation","function","high-voltage","inverter","of","on","power","precompliance","radiated","system","transfer" ], "intraHash" : "6dc4db1dd0e0f65955a13ff3febfe92c", "interHash" : "2172b617cebc7a28bd55de5c4e849b58", "label" : "Radiated Emissions of an Electric Drive System Estimated on a Bench\r\n Using Disturbance Currents and Transfer Functions", "user" : "annettegugel", "description" : "", "date" : "2020-04-20 14:36:54", "changeDate" : "2020-04-22 12:11:51", "count" : 1, "pub-type": "article", "journal": "IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY","publisher":"IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC", "year": "2015", "url": "https://opencms.uni-stuttgart.de/fak5/ieh/dokumente/publikationen/2015_Schneider-Beltle-Siegel-Radiated_Emissions_of_an_Electric_Drive_System_E.pdf", "author": [ "Daniel Schneider","Michael Beltle","Martin Siegel","Stefan Tenbohlen","Wolfgang Koehler" ], "authors": [ {"first" : "Daniel", "last" : "Schneider"}, {"first" : "Michael", "last" : "Beltle"}, {"first" : "Martin", "last" : "Siegel"}, {"first" : "Stefan", "last" : "Tenbohlen"}, {"first" : "Wolfgang", "last" : "Koehler"} ], "volume": "57","number": "3","pages": "311-321", "research-areas" : "Engineering; Telecommunications", "eissn" : "1558-187X", "language" : "English", "issn" : "0018-9375", "affiliation" : "Schneider, D (Reprint Author), Univ Stuttgart, Dept IEH, D-70569 Stuttgart, Germany. Schneider, Daniel; Beltle, Michael; Siegel, Martin; Tenbohlen, Stefan; Koehler, Wolfgang, Univ Stuttgart, Dept IEH, D-70569 Stuttgart, Germany.", "unique-id" : "ISI:000356299900001", "doi" : "10.1109/TEMC.2015.2401735", "bibtexKey": "schneider2015radiated" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2165f7b16707f8b37c7f01e6aefcc6cb2/tourian", "tags" : [ "GRACE,","Groundwater,","Mascon,","PCA,","Quantile","Surface","function","geoinst","of","storage,","water" ], "intraHash" : "165f7b16707f8b37c7f01e6aefcc6cb2", "interHash" : "48db2df47a7f370e1d0cfdc7068bd3fe", "label" : "Characterization of the hydro-geological regime of Yangtze River basin using remotely-sensed and modeled products", "user" : "tourian", "description" : "", "date" : "2020-02-25 11:17:44", "changeDate" : "2025-11-30 22:22:14", "count" : 3, "pub-type": "article", "journal": "Science of The Total Environment", "year": "2020", "url": "http://www.sciencedirect.com/science/article/pii/S0048969720308640", "author": [ "V.G. Ferreira","B. Yong","M.J. Tourian","C.E. Ndehedehe","Z. Shen","K. Seitz","R. Dannouf" ], "authors": [ {"first" : "V.G.", "last" : "Ferreira"}, {"first" : "B.", "last" : "Yong"}, {"first" : "M.J.", "last" : "Tourian"}, {"first" : "C.E.", "last" : "Ndehedehe"}, {"first" : "Z.", "last" : "Shen"}, {"first" : "K.", "last" : "Seitz"}, {"first" : "R.", "last" : "Dannouf"} ], "pages": "137354","abstract": "The hydrology of the Third Pole, Asia\u2019s freshwater tower, has shown considerable sensitivity to the impacts of climate change and human interventions, which affect the headwaters of many rivers that originate therein. For example, the Yangtze River has its basin (YRB) experiencing wetness of terrestrial water storage (TWS), which rainfall seems to be the primary source as inferred from the previous studies. Consequently, it is crucial to understand the contributions of each TWS\u2019s sub-domain - i.e., groundwater (GWS); total water content (TWC) stored as soil moisture, ice/snow, and canopy; and the surface water (SWS) storages - on YRB\u2019s wetness. Hence, SWS, from altimetry and imagery satellites, and TWC, from Global Land Data Assimilation System, are inverted considering the same basis function as for TWS from the Gravity Recovery and Climate Experiment, which account for the differences in the resolutions inherent in each product. Furthermore, a \u201Ctie-in\u201D signal approach is used to fit the temporal patterns of GWS, TWC, and SWS to TWS (i.e., the observations). Results show improvements in the reconstructed GWS series concerning standard deviation, correlation coefficient, and Nash\u2013Sutcliffe efficiency of 22%, 27%, and 120%, respectively, regarding the use of the TWS-budget equation. The reconstructed time series of GWS, TWC, and SWS present an increase of 1.76, 2.69, and 0.14 mm per year (mm/yr) and that YRB loses water stored at its aquifers 55% of the time (regarding 2003-2016 period) based on the quantile function of storage (QFS). The QFS\u2019s slope shows that TWS has a fast and small storage potential w.r.t. GWS since inland waters and soil moisture reflect the dryness impacting TWS first. Despite the evidence of an increase of 19.05 mm/yr in annual precipitation, which seems to explain the bulk in TWS, further investigation to characterize controls on TWS memory within YRB still necessary.", "issn" : "0048-9697", "doi" : "https://doi.org/10.1016/j.scitotenv.2020.137354", "bibtexKey": "FERREIRA2020137354" } ] }