DocumentCode
3013445
Title
Abnormality diagnosis of transformer winding by frequency response analysis (FRA) using circuit model
Author
Miyazaki, S. ; Mizutani, Y. ; Okamoto, Tatsuaki ; Wada, Yasuhiro ; Hayashida, C.
Author_Institution
Electr. Power Eng. Lab., Central Res. Inst. of Electr. Power Ind., Yokosuka, Japan
fYear
2012
fDate
23-27 Sept. 2012
Firstpage
273
Lastpage
276
Abstract
A circuit model of a real transformer is established to reproduce the transfer functions of the transformer. This model is based on the configuration and dimensions of the real transformer. Using this circuit model, the sensitivities of the circuit elements to the resonant frequencies are analyzed. In frequency response analysis (FRA), this sensitivity analysis is helpful in the diagnosis of abnormalities by extracting the circuit elements having relatively high sensitivity to the shift of the resonant frequency. Furthermore, the ability to detect abnormalities in a transformer winding is discussed quantitatively by relating the shift of the resonant frequency and the degree of abnormality via variations of circuit elements on the basis of electromagnetic theory. The accumulation of such data for transformers with different classes of rated voltage and capacity, connections of phases, winding configurations, and so will contribute construction of diagnosis criteria for transformer windings by FRA.
Keywords
frequency response; sensitivity analysis; transfer functions; transformer windings; abnormality diagnosis; circuit elements; circuit model; electromagnetic theory; frequency response analysis; phase connections; rated capacity; rated voltage; resonant frequency; sensitivity analysis; transfer functions; transformer winding; winding configurations; Capacitance; Integrated circuit modeling; RLC circuits; Resonant frequency; Sensitivity; Transfer functions; Windings; circuit model; frequency response analysis (FRA); resonant frequency; state equation; transformer;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4673-1019-2
Type
conf
DOI
10.1109/CMD.2012.6416429
Filename
6416429
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