Deterioration Diagnosis of Insulating Oil for Power Transformers by Optical Analysis

Sawada, Kenryo; Genji, Takamu; Katagiri, Junichi; Takezawa, Yoshitaka; Itoh, Yoshio

doi:10.1541/ieejpes1990.120.3_362

Cited by 5 publications

(2 citation statements)

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“…A method for comprehensively evaluating aged oil has been proposed based on previous studies regarding the deterioration process and the influence of trace components in the oil [3]. The relationship between the degree of oil aging and the optical absorption loss has been derived [4]. Moreover, the degree of deterioration of insulating paper has been quantitatively calculated by using an optical probe that measures the reflective absorbance of insulating paper in the oil [5].…”

Section: Introductionmentioning

confidence: 99%

Novel Method for Estimating Furfural Content in Transformer Insulating Oil Using Spectroscopic Analysis and Pattern Recognition

Oshima

Suehara

Hashimoto

et al. 2022

IEEJ Transactions Elec Engng

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The transformer is the most essential component in electrical power transmission. Once a transformer is installed, it is generally used for decades. When failure occurs in a transformer, serious problems can arise, and numerous electrical components that depend on the transformer may be affected. Thus, deterioration diagnosis of transformers is important. The furfural content in the insulating oil of a transformer is widely used as an indicator of transformer deterioration, as furfural is generated by decomposition of the insulating paper. Although the degree of transformer deterioration can be estimated by measuring the furfural content, this measurement is time-consuming. This paper proposes a novel method for estimating the amount of furfural contained in insulating oil within a short time. The method is realized by combining spectroscopic analysis in the visible region with a pattern recognition technique. The effectiveness of the proposed method is verified through a series of experiments.

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Section: Introductionmentioning

confidence: 99%

Novel Method for Estimating Furfural Content in Transformer Insulating Oil Using Spectroscopic Analysis and Pattern Recognition

Oshima

Suehara

Hashimoto

et al. 2022

IEEJ Transactions Elec Engng

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“…Additionally, a study was conducted to describe the O -H and C=O bonds that were generated during degradation [13]. Research into the correlation between absorbance and the average degree of polymerization [14], including a study focused on the relationship of material properties, such a Correspondence to: Seiichiro Oshima. E-mail: seiichirou-ooshima@toenec.co.jp as the amount of degradation components produced when the insulating paper was thermally degraded in the oil [15], have also been conducted.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Degradation Indices of Oil‐Filled Transformer Based on the Color Data of Insulating Oil

Oshima¹,

Nakamura²,

Kobayashi³

2021

IEEJ Transactions Elec Engng

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This study proposes a novel method for estimation of the acid value and the furfural contained in the insulating oil of an oil-filled transformer based on the information received from the color of the insulating oil. A spectrometer analysis is carried out on insulating oils. The color data, represented as L*, a*, and b*, are measured, and it is found that these values change on a certain trajectory in accordance with the degradation of the insulating oil. Subsequently, a method for the estimation of acid value and the furfural is proposed based on the trajectory. Finally, the effectiveness of the proposed method is verified through experimental procedures.

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Status Quo and Trends of Insulation Monitoring and Diagnosis Methods for Electric Power Apparatus in Japan

et al. 2004

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Deterioration Diagnosis of Insulating Oil for Power Transformers by Optical Analysis

Cited by 5 publications

References 0 publications

Novel Method for Estimating Furfural Content in Transformer Insulating Oil Using Spectroscopic Analysis and Pattern Recognition

Novel Method for Estimating Furfural Content in Transformer Insulating Oil Using Spectroscopic Analysis and Pattern Recognition

Estimation of Degradation Indices of Oil‐Filled Transformer Based on the Color Data of Insulating Oil

Status Quo and Trends of Insulation Monitoring and Diagnosis Methods for Electric Power Apparatus in Japan

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