Combined Defects Recognition in the Low and Medium Temperature Range by Results of Dissolved Gas Analysis

Shutenko, Оleg; Kulyk, Oleksii

doi:10.1109/khpiweek51551.2020.9250131

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…Some faults are very easy to diagnose using only a few of the diagnostic criteria. For example, C 2 H 6 as a key gas is typical for thermal faults in the temperature range of 150 to 300 • С and their combinations with electrical discharges [21,27]. The most common causes of such faults are weakening of the magnetic core pressing, local overheating of the core due to flux concentration, the presence of a short circuit, clogging of air dryer filters etc.…”

Section: Recognition Proceduresmentioning

confidence: 99%

“…It should also be noted that in some cases it is not sufficient to use only one diagnostic criterion to recognise the fault type. For example, for low‐temperature thermal fault that progresses to partial discharges [21], both the values of gas ratios and the percentage of gas content coincide with the values of the criteria characteristic of purely thermal faults. A similar situation occurs with some high‐temperature thermal fault that transform into discharges [22].…”

Section: Introductionmentioning

confidence: 98%

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Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

Shutenko,

Kulyk

2023

IET Generation Trans & Dist

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This paper proposes a method for recognising the fault type using a set of diagnostic criteria. Existing approaches to the interpretation of dissolved gas analysis (DGA) results usually rely on single diagnostic criteria. The proposed method solves the problems of incomplete use of diagnostic information and discrepancies in the norms and criteria for recognising the same fault inherent in the existing methods. The feature of the method is the analysis of the compliance of the DGA results of the diagnosed equipment with the ones of the equipment with a confirmed diagnosis from the fault database. This approach outperforms the existing methods in the number of faults recognised, allowing a wider range of faults to be detected, including combined faults. In addition, the method provides an opportunity to identify possible causes and localise the fault. This feature is unique and provides a significant advantage when interpreting DGA results. The proposed method demonstrates significantly higher accuracy (100%) in recognising various fault types, including combined faults, in comparison to existing methods (about 50%). The proposed method has a 60% success rate in determining the cause and location of a fault, but this figure depends on the database with faults of various types used.

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Section: Recognition Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

Shutenko,

Kulyk

2023

IET Generation Trans & Dist

Self Cite

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“…Для обладнання з відносно низьким вмістом масла (високовольтні вводи, трансформатори струму і напруги) схожість побудованих номограм з центрами областей №96, 98, 100 і 102 може свідчити про відкладення Х-воску [40]. Номограма, що збігається з центром області №97, наведена в [27] [46,55].…”

Section: аналіз графічних областей характерних для перегрівів у діапа...unclassified

Features of recognising the type of defect in oil-filled equipment using the nomogram method

Shutenko

2022

Bull. Nat. Tech. Univ. "KhPI". Ser.: Energy: Reliab. Energy Eff

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The paper presents the results of analysis of nomograms (graphical areas) of defects in oil-filled equipment of electric networks. The input data were the results of dissolved gas analysis for 2997 transformers and shunt reactors with different types of defects, that is, the training sample. In order to level out possible contradictions in using different criteria, the training sample was split into separate data sets, not only with the same defect type, but also with identical values of characteristic gas ratios, gas percentages and gas-to-gas ratios with maximum concentration. To account for drift of coordinate values of individual nomograms in the obtained arrays, it is proposed to represent defect nomograms in the form of reference regions. The maximum and minimum coordinate values (ratios of each of the gases to the gas with the maximum concentration) obtained for homogeneous arrays of DGA results are used as values of the boundaries of reference regions. The centre of the graphic area coincides with the reference nomogram. As a result, 115 nomograms characteristic of thermal type defects, electrical discharges as well as overheating with different hot spot temperature accompanied by discharges with different energy density and discharges with different energy density accompanied by overheating with different hot spot temperature have been drawn. A brief analysis of the obtained graphic areas is given, the most characteristic damages corresponding to one or another graphic area are considered, and the values of characteristic gas ratios corresponding to the analysed areas are analysed. In the process of analysis it was established that the highest reliability value of defect type recognition can be achieved by simultaneous use of all three diagnostic criteria, namely, values of gas ratios, gas percentages and nomograms (graphic areas) of defects. The obtained results make it possible to significantly increase the number of reference nomograms, which will significantly increase the number of recognisable defects and consequently reduce the risk of accidental damage to oil-filled equipment due to missing defects caused by failure to recognise them.

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Recognition of low-temperature overheating in power transformers by dissolved gas analysis

Shutenko

Kulyk

2022

Electr Eng

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Combined Defects Recognition in the Low and Medium Temperature Range by Results of Dissolved Gas Analysis

Cited by 9 publications

References 20 publications

Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria

Features of recognising the type of defect in oil-filled equipment using the nomogram method

Recognition of low-temperature overheating in power transformers by dissolved gas analysis

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