NDLI: Frequency response measurement of a power transformer

Content Provider	IEEE Xplore Digital Library
Author	Ariastina, W.G. Kumara, I.N.S. Indra Partha, C.G. Dyana Arjana, I.G. Arta Wijaya, I.W. Amrita, A.A.N. Giriantari, I.A.D.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Udayana Univ., Bali, Indonesia (Ariastina, W.G.; Kumara, I.N.S.; Indra Partha, C.G.; Dyana Arjana, I.G.; Arta Wijaya, I.W.; Amrita, A.A.N.; Giriantari, I.A.D.)
Abstract	This paper presents a field experience in condition monitoring of a power transformer using SFRA technique. A design based comparison approach of the SFRA test results is discussed in the paper. In order to verify the latest condition of the transformer, the SFRA test was complemented with DGA and PD tests. The SFRA test results indicated that there is an abnormality within the transformer windings. The PD test results confirmed this interpretation, where very large ultrasonic impulses were detected. A series of DGA tests have showed that there is an early stage degradation of the insulating paper, which may be associated with fault within the transformer windings. The field experience showed that the monitoring approach has been very useful in indicating the possible occurrence of failure within the transformer structure.
Starting Page	102
Ending Page	105
File Size	1156367
Page Count	4
File Format	PDF
ISBN	9781479965502
e-ISBN	9781479965519
DOI	10.1109/QiR.2015.7374905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-10
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Condition monitoring SFRA Core and winding fault Windings Resonant frequency Oil insulation Frequency response Frequency measurement Power transformer Power transformer insulation
Content Type	Text
Resource Type	Article

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Location of faults in transformer winding using SFRA

Minimum detection of power transformer short circuit fault using frequency response analysis

New methodology for diagnosing faults in power transformer windings through the Sweep Frequency Response Analysis (SFRA)

Characterization of transformer FRA signature under various winding faults

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Evaluation of transformer core and winding conditions from SFRA measurement results using statistical techniques for distribution transformers

Effect of terminal connections on SFRA results of three-winding power transformers

Development of a benchmark for the interpretation of transformer frequency response analysis results

Investigation of transformer model winding deformation using sweep frequency response analysis

Frequency response measurement of a power transformer

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