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DGA technique for identifying the inner incipient faults inside the electric transformer

Mahesh lamba, Yogita rathi, vikrant singh

Abstract


Incipient fault prognosis of an energy transformer is significantly prompted by the circumstance assessment of its insulation machine oil and/or paper insulation. Dissolved gas-in-oil evaluation (DGA) is one of the maximum powerful techniques for the detection of incipient fault condition within oil-immersed transformers. The transformer records have been analyzed using key gases, Doernenburg, Roger, IEC and Duval triangle strategies. This paper introduce a MATLAB application to assist in unification DGA interpretation techniques to analyze the accuracy of these techniques in decoding the transformer condition and to provide the excellent notion for the sort of the fault inside the transformer based totally on fault percentage.

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References


An Abu-Siada and S Islam. "a new method to perceive strength transformer criticality and asset management selection primarily based on dissolved gas-in-oil evaluation". IEEE Transactions on Dielectrics and electric Insulation. 2012; 19: 1007-1012.

EnaNarang, ErShivanisehgal, "Fault Detection strategies for preservation using Dissolved gas evaluation". worldwide magazine of Engineering research& era (IJERT). 2012; 1(6): 01-07.

Sherif SM Ghoneim, IEEE Member, Sayed A Ward. " Dissolved gasoline analysis an Early identification of Transformer Faults". Advances in electrical Engineering systems (AEES). ISSN 2167-633X. 2012; 1(3).

AndriFebriyanto, Tapan Kumar Saha. "Oil-immersed energy Transformers situation diagnosis withconfined Dissolved gas analysis (DGA) data". Australasian Universities strength Engineeringconvention (AUPEC). 2008: 073.

IEEE Std. C57.104-2008. IEEE guide for the translation of Gases Generated in Oil-ImmersedTransformers. Institute of electrical and Electronics Engineers, Inc., ny. 2008: 9–27.

[6] Siva Sarma, DVSS and GNS Kalyani. "ANN method for circumstance tracking of strength Transformers the use of DGA". IEEE vicinity 10 conference, TENCON 2004. 2004; C: 444-447.

M Duval. "New strategies for dissolved gas-in-oil evaluation". IEEE

electric Insulation magazine. 2003; 19: 6-15.

Duval M. "A overview of Faults Detectable with the aid of fuel-in-Oil analysis in Transformers". IEEE electricInsulation magazine. 2002; 18(3).

DVSS Sivasarma, GNS Kalyani. "ANN approach for circumstance monitoring of power Transformers using DGA". IEEE electrical Insulation magazine. 2002: 12-25.

X Liu, F Zhou, and F Huang. "research on on-line DGA the use of FTIR”. energy transformer insulation testing.2002; 3: 1875-1880.


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