Analysis of Gas Content in Oil-Filled Equipment with Spark Discharges and Discharges with High Energy Density

Kulyk, Oleksii; Shutenko, Оleg

doi:10.1007/s42341-019-00124-8

Cited by 11 publications

(3 citation statements)

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“…Practical implementation of this approach makes it possible to eliminate most of the described problems and increase the reliability of faulttype recognition. This is partly demonstrated in the works of the authors [24][25][26][27].…”

Section: Introductionmentioning

confidence: 79%

“…At the first stage of research, the values of diagnostic criteria for faults of different types were analysed. Partially the results of this analysis are given in [23–27]. The analysis resulted in 96 arrays with DGA results with close values of gas ratios, percentage gas content and gas‐to‐gas ratios with maximum gas content.…”

Section: Proposed Methods For Transformers Faults Diagnosticmentioning

confidence: 99%

“…The results of analysis of values of diagnostic criteria in equipment with faults of different types given in [23][24][25][26][27] showed that for the same type of fault there can be several reference data arrays, which significantly differ between the content of gases. For example, as shown in [27] for thermal fault of 150 to 300 • C, 16 reference arrays are formed depending on the hot spot temperature, with methane and ethane having the maximum content.…”

Section: Recognition Proceduresmentioning

confidence: 99%

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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: Introductionmentioning

confidence: 79%

Section: Proposed Methods For Transformers Faults Diagnosticmentioning

confidence: 99%