• 전기의세계
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• v.52 no.12
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• pp.35-41
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• 2003

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.1
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• pp.99-105
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• 1997

In the paper, aging of insulating oil in pole transformer has been studied by performing accelerated thermal aging test. Dissolved gases were extracted by air bubbling method. Concentration of dissolved gases were modified by extraction ratio of each gases in insulating oil. Aging of insulating materials were proceeded by thermal degradation and oxidation reaction. Both of the reactions followed zeroch order kinetics. Formation rate equations for hydrocarbons, carbon oxides, and hydrogen were derived. It was conformed by gas analysis and UV-Visible spectrophotometric method that iron core and copper coil in pole transformer act as catalyst during the aging process.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.1
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• pp.24-33
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• 1997

In this paper, aging of insulating oil in pole transformer has been studied by performing accelerated thermal aging test. Dissolved gases were extracted by air bubbling method. Concentration of dissolved gases were modified by extraction ratio of each gases in insulting oil. Aging of insulting materials were proceeded by thermal degradation and oxidation reaction. Both of the reactions followed zeroth order kinetics. Formation rate equations for hydrocarbons, carbon oxides, and hydrogen were derived. It was conformed by gas analysis and UV-visible spectrophotometric method that iron core and copper coil in pole transformer act as catalyst during the aging process.

• Journal of IKEEE
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• v.24 no.1
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• pp.354-359
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• 2020

DGA(Dissolved Gas Analysis) is regularly performed to detect internal defects of power transformers and prevent failures. The overheating or discharging in the transformer can be confirmed by DGA but the defective parts should be identified by internal inspection. However, winding or iron core defects cannot be checked by internal inspection, so it is impossible to establish actions by DGA alone. In this paper, the internal defect mode is analyzed and presented based on the transformer internal inspection reports, and the internal defect can be predicted by considering DGA.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.5
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• pp.68-74
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• 2001

This paper describes the new algorithm method for detecting abnormal causes within power transformers. Generally, the gas analysis has been proved the most confident method of many transformer diagnostics. The proposed algorithm is adapted to the international codes of IEC, Dornenburg, Gas Pattern including the DEPCO´s gas analysis method for the improvement of diagnostic efficiency. Specially, this algorithm is programmed by the tool of Element Expert developed Neuron DATA Inc. in USA. Also, it was confirmed that the developed algorithm is proved the confidence by the use of real data in fault power transformers.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.740_741
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• 2009

발전소에 설치된 대용량 변압기의 고장사례에 절연유 온도에 따른 가스발생 형태, 가연성가스 성분비를 이용한 Rogers Ratio 법, 발생가스별 고장형태 및 원인분석 방법을 적용하여 고장원인을 진단하고 실제 확인된 고장원인을 고찰하였다. 사례 1은 저압측 탭권선이 과열로 손상된 사례로 온도에 따른 가스발생 형태 및 발생 가스별 고장 형태를 이용한 진단결과는 $300^{\circ}C$이상에서 과열이 된 것으로 진단되어 거의 일치하나 Rogers Ratio 법을 적용하면 $150^{\circ}C$ 정도에서 저온과열된 것으로 진단되어 약간의 차이를 보였다. 사례 2는 변압기 철심의 Burr 발생, 철심간 단락으로 인한 과열 및 아크가 발생된 고장으로 가스발생 패턴이 절연유 온도에 따른 가스발생 형태 및 사례 1과는 차이가 있고 특히, 내부 아크에 의해 발생되는 아세틸렌($C_2H_2$)은 계속 증가하는 반면 "Hot Metal Gas"중의 하나인 에탄($C_2H_6$)은 미량으로 특이한 가스발생형태를 보였다. Rogers Ratio 법과 발생가스별 고장 형태 및 원인분석법에 의한 진단결과는 일치하였다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.6
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• pp.136-144
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• 2004

Dissolved gas in oil analysis has been used for fault diagnosis of oil immersed insulation. In this paper to improve the reliability in deciding the degradation causes of the oil immersed insulation, we carried out electrical and thermal degradations for the insulations, and analyzed the characteristics of dissolved gases distribution on each situation. As a result more reliable faults discrimination is possible if we use the interrelation of factors like key gases and gas compositions of hydrocarbon gases and ratios of CO/$CO_2$.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.952-954
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• 1998

This paper presents an artificial neural network approach to diagnose and detect faults in oil-filled power transformers based on dissolved gas analysis. The proposed algorithm is used to detect faults with or without cellulose involved. Several neural network topologies have been considered. Good diagnosis accuracy is obtained with the proposed approach.

• Proceedings of the KIEE Conference
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• 1998.11a
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• pp.301-303
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• 1998

This paper presents a new approach to diagnose and detect faults in oil-filled power transformers based on various dissolved gas analyses. A theoretic fuzzy information model is introduced, An inference scheme which yields the 'most' consistent conclusion proposed. A framework is established that allows various dissolved gas analyses to be combined in a systematic way such as the Dempster-Shafer rule. Good diagnosis accuracy is obtained with the proposed approach.

• Journal of the Korean Chemical Society
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• v.21 no.3
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• pp.193-203
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• 1977

Three sterol fractions; 4-desmethyl-, 4-monomethyl-, and 4,4-dimethylsterol, separated by thin layer chromatography from the unsaponifiables of five Cucurbitaceae (cucumber, watermelon, sponge cucumber, gourd and snake gourd) seed oils were analyzed by gas liquid chromatography and combined gas liquid chromatography-mass spectrometry. ${\alpha}$-Spinasterol, ${\Delta}^{7,22,25}$-stigmastatrienol and ${\Delta}^{7,25}$-stigmastadienol isolated from the 4-desmethylsterol fraction were identified by IR, NMR and mass spectrometry.