Title: Transformer fault detection based on Raman analysis of the transformer oil (A case study)
Authors: Kadlečíková, M.
Citation: Electroscope. 2020, č. 1.
Issue Date: 2020
Publisher: Západočeská univerzita v Plzni, Fakulta elektrotechnická
Document type: článek
ISSN: 1802-4564
Keywords: Ramanova analýza;experiment;detekce poruchy;olej;Ramanova spektroskopie
Keywords in different language: Raman analysis;experiment;fault detection;oil;Raman spectroscopy
Abstract in different language: The paper reports on an experiment in the academic laboratory that aimed to detect a transformer fault by Raman spectroscopy of the transformer oil. Indicators of oil degradation (eg gases, sludge, cellulose) could not be detected. Combustion indicators (soot – graphitic particles, graphene particles, amorphous carbon) in the transformer oil were reliably detected by Raman measurements. The transformer was disassembled at the factory. It was shown that the magnetic core and electrical circuit of the transformer were irreversibly damaged and the contamination of the active parts of the transformer and the oil was massive. Two interturn short circuits were detected. It was confirmed that in the place of the coil shorts, where an electric arc burned, melting occurred of the winding conductors and of a part of the transformer core. Raman spectroscopy proved to be a useful method for rapid diagnostics of the events in a hermetically sealed transformer vessel.
Rights: © 2020 Electroscope
Appears in Collections:Číslo 1 (2020)
Číslo 1 (2020)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/42298

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