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000000057 001__ 57
000000057 037__ $$aENY-ARTICLE-2008-048
000000057 041__ $$aeng
000000057 088__ $$aI07/04/I-035
000000057 088__ $$aDOI 10.1007/s00202-004-0230-x
000000057 100__ $$aZylka, P$$uWroclaw University of Technology, Poland
000000057 245__ $$aElectrochemical gas sensors can supplement chromatography-based DGA
000000057 260__ $$c2003-11-23
000000057 300__ $$a6p
000000057 500__ $$aElectrical Engineering (2005) 87: 137–142
000000057 520__ $$aShortening a time gap between oil sampling and its analysis as well as a rapid and correct interpretation of dissolved gas analysis (DGA) results are crucial for effective screening of faulty transformers in predictive-oriented equipment maintenance. Introductory DGA performed quickly by means of a developed portable analyzer, fitted with electrochemical gas sensors, can supplement classical chromatography-based DGA contributing to a correct and rapid transformer fault interpretation. Examples of unusual data mining for sensor-based DGA are also presented.
000000057 6531_ $$aMineral oil
000000057 6531_ $$aTransformer monitoring
000000057 6531_ $$aFault interpretation
000000057 6531_ $$aOil thermal breakdown
000000057 6531_ $$aPartial discharge
000000057 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000057 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/57/files/$$zAccess to Fulltext
000000057 909CO $$ooai:zet10.pwr.wroc.pl:57$$pglobal
000000057 980__ $$aARTICLE