Analysis of Transformer Conditions using Triangle Duval Method

Permana, Sandra; Sumarto, S; Saputra, W S

doi:10.1088/1757-899x/384/1/012065

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…The reduction in the number of gases to n=3 in the composition of 𝐶𝐻 4 , 𝐶 2 𝐻 2 , 𝐶 2 𝐻 4 is due to their status of a "key gas" in poorly classified situations of developing thermal defects in the ranges of low and medium temperatures. In addition, the indicated composition of gases determines the scheme for interpreting defects in PT using the Duval triangle method [26]- [28]. The analysis of the results showed that the reduction in the number of parameters involved in the formation of the Bayesian classification model causes a characteristic change in the statistical moments of the  ISSN: 2088-8708 RV 𝐷 in the classes of states 𝑆 1 , 𝑆 2 and.…”

Section: Calculation Results Analysis and Discussionmentioning

confidence: 99%

An innovative method of fault detection in power transformers

Levin

Yahya

2022

IJECE

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The Bayesian classifier is a priori the optimal solution for minimizing the total error in problems of statistical pattern recognition. The article suggests using the classifier as a regular tool to increase the reliability of defect recognition in power oil-filled transformers based on the results of the analysis of gases dissolved in oil. The wide application of the Bayesian method for solving tasks of technical diagnostics of electrical equipment is limited by the problem of the multidimensional distribution of random parameters (features) and the nonlinearity of classification. The application of a generalized feature of a defect in the form of a nonlinear function of the transformer state parameters is proposed. This simultaneously reduces the dimension of the initial space of the controlled parameters and significantly improves the stochastic properties of the random distribution of the generalized feature. A special algorithm has been developed to perform statistical calculations and the procedure for recognizing the current technical condition of the transformer using the generated decision rule. The presented research results illustrate the possibility of the practical application of the developed method in the conditions of real operation of power transformers.

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Section: Calculation Results Analysis and Discussionmentioning

confidence: 99%

An innovative method of fault detection in power transformers

Levin

Yahya

2022

IJECE

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“…This study presents the development of using multi-method DGA interpretation from the combination of duval triangle and duval pentagon method with improvement from previous research. On the [6] duval triangle method can identify partial discharge and thermal failure, and from [9] the duval pentagon are use for base method for interpretation. In the result section, the duval triangle show the discharge and thermal faults to often be the identification result, but the duval pentagon may be more sensitive for identification of stray gassing.…”

Section: Mixture Of Faults Identificationmentioning

confidence: 99%

“…Several studies have been carried out to reduce misinterpretation and detect mixture of faults. A study in reference [6] uses the Duval triangle method for identification of thermal failure and partial discharge of transformer oil used in geothermal power plant UPJP Kamojang. A study in [7] proposed the integration of Duval Pentagon to the multi-method interpretation to improve the accuracy of dissolved gas analysis technique.…”

Section: Introductionmentioning

confidence: 99%

Mixture of Faults Identification on Power Transformers Using Multi-Method Dissolved Gas Analysis

Prasojo

Putra

Neelmani

2022

IJFTE

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Utilities rely on the various Dissolved Gas Analysis (DGA) interpretation methods to identify incipient fault within power transformers. However, confusion often arises due to the use of different DGA methods which can have different results or fail to detect mixture of faults (multiple faults). This paper implements the combination of Duval Triangle and Duval Pentagon as one of the most consistent methods to do fault identification based on DGA. Recent historical DGA data of generator step up high voltage power transformers and other several previously published historical data were collected and analyzed. This article aims to assist transformer asset manager in detecting mixture of faults using multi method. The use of combined Duval triangle and Pentagon method is done in accordance to the guideline in IEEE C57.104-2019.

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“…Several studies have been carried out using the Duval Triangle and Pentagon methods in interpreting transformer conditions, in reference [9] using the Duval Triangle method in examining the conditions of the Kamojang UPJP transformer. Then in [10] developing an Artificial Neural Network (ANN) model based on Duval Pentagon method in improving diagnostic and monitoring capabilities of transformers.…”

Section: Introductionmentioning

confidence: 99%

Dissolved Gas Analysis of Generator Step Up Transformer in Grati Power Plant Using Random Forest Based Method

Putra

Prasojo²,

Novfowan³

et al. 2023

Jartel

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Transformers are one of the important electrical equipment in the power system. To prevent some electrical contact on the component in transformers, an insulator or dielectric material is needed likely insulating oil. DGA test is important for diagnosis and deciding the maintenance of transformers. Duval Triangle and Duval Pentagon methods are DGA identification methods with the highest of accuracy compared to other methods. The data used in this article is from the DGA measurement test of transformers GT 3.1 Steam and Gas Power Plant Grati. The DGA data was analyzed by Random Forest based-model of Duval Triangle and Pentagon method, in accordance to IEEE C57.104-2019 and IEC 60599-2015 guidelines. Random Forest based-model has the best performance in implemented Duval method than others. The result of DGA identification using Random Forest based-model showed PD and S for Duval Triangle, and S for Duval Pentagon and from the results of identification using the Duval Triangle and Pentagon it does not always show the same results on the same test sample, so it is necessary to identify the history of DGA testing to get accurate results. This article presents the use of the combined Duval Triangle and Pentagon for diagnosis transformers.

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Analysis of Transformer Conditions using Triangle Duval Method

Cited by 6 publications

References 2 publications

An innovative method of fault detection in power transformers

An innovative method of fault detection in power transformers

Mixture of Faults Identification on Power Transformers Using Multi-Method Dissolved Gas Analysis

Dissolved Gas Analysis of Generator Step Up Transformer in Grati Power Plant Using Random Forest Based Method

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