Detection of Methanol in Power Transformer Oil Using Spectroscopy

Fu, Qiang; Lei, Peng; Li, Li; Lin, Musong; Zhao, Yaohong; Li, Shengli; Chen, Chen

doi:10.1007/s42835-019-00097-x

Cited by 9 publications

(7 citation statements)

References 24 publications

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“…Different from the traditional spectral method, which only calculates the absorbance at the characteristic wavelength. Fu et al used the partial leastsquares method, used the micro spectrometer (Maya 2000 pro) and light source (DH-20000) to detect the absorbance of the product, and the slit grating was 25 μm [96]. The schematic diagram of the experimental platform for spectroscopy is shown in Figure 8a.…”

Section: Spectroscopymentioning

confidence: 99%

A review on a novel method for aging evaluation of transformer insulating paper based on methanol

Chen

Sun

Cheng

et al. 2023

IET Generation Trans & Dist

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The insulation paper is a crucial factor for evaluating the insulation status of transformers. The traditional evaluation methods for insulation paper are dissolved gas component content analysis (CO and CO 2 ) and furfural (2-FAL) content analysis in oil. The detection principle of the former leads to its low accuracy, while the field application effect of the latter is not ideal due to the easy oxidation of furfural and low content. Methanol, result of its good stability and high production compared with other marker products (CO, CO 2 , 2-FAL) has been investigated as a novel marker for aging evaluation of transformer insulating paper in recent years. The results of the investigation indicated that there is a good correlation between the content of methanol in oil and the degree of polymerization under laboratory conditions, which reflected the insulation aging state of the transformer insulating paper more accurately. This paper summarizes the current research status of methanol formation mechanism, detection methods and aging evaluation in insulating oil, and points out the key problems to be solved and development prospects, hoping to provide relevant reference for aging evaluation of oil immersed power transformer.

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Section: Spectroscopymentioning

confidence: 99%

A review on a novel method for aging evaluation of transformer insulating paper based on methanol

Chen

Sun

Cheng

et al. 2023

IET Generation Trans & Dist

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“…The univariate linear regression model (ULR) is a well-known method for quantifying aging characteristics in transformer oil [ 54 , 55 , 56 ]. This method often analyzes only one characteristic peak, ignoring the rich information contained in multiple characteristic peaks or even the full spectrum, but also the intensity of one characteristic peak used for modeling is unstable, which leads to inaccurate predictions, thus limiting its application in acetone quantification.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Acetone in Transformer Oil Based on ZnO NPs@Ag NWs SERS Substrates Combined with a Stoichiometric Model

Zhang

Lei

Song

et al. 2022

IJMS

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Acetone is an essential indicator for determining the aging of transformer insulation. Rapid, sensitive, and accurate quantification of acetone in transformer oil is highly significant in assessing the aging of oil-paper insulation systems. In this study, silver nanowires modified with small zinc oxide nanoparticles (ZnO NPs@Ag NWs) were excellent surface-enhanced Raman scattering (SERS) substrates and efficiently and sensitively detected acetone in transformer oil. Stoichiometric models such as multiple linear regression (MLR) models and partial least square regressions (PLS) were investigated to quantify acetone in transformer oil and compared with commonly used univariate linear regressions (ULR). PLS combined with a preprocessing algorithm provided the best prediction model, with a correlation coefficient of 0.998251 for the calibration set, 0.997678 for the predictive set, a root mean square error in the calibration set (RMSECV = 0.12596 mg/g), and a prediction set (RMSEP = 0.11408 mg/g). For an acetone solution of 0.003 mg/g, the mean absolute percentage error (MAPE) was the lowest among the three quantitative models. For a concentration of 7.29 mg/g, the MAPE was 1.60%. This method achieved limits of quantification and detections of 0.003 mg/g and 1 μg/g, respectively. In general, these results suggested that ZnO NPs@Ag NWs as SERS substrates coupled with PLS simply and accurately quantified trace acetone concentrations in transformer oil.

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“…Fibreoptic cables made of fibreglass have high durability, but their high electrical options available worsen the situation, which could endanger transmitter integrity. Because untimely deterioration of the optic sheathing element is possible, investigations focused just on durability for optic sheathing polymers in condition monitoring were desperately required [2].…”

Section: Introductionmentioning

confidence: 99%

An investigation on the electrical ageing properties of fibre sheathing compounds in power transformer oil

2021

Webology

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Fibre optic cable offers a lot of promise in enabling surveillance of genderqueer people. The electromagnetic ageing study of sales and better sheathing model is provided throughout this work using a progressive amperage approach, as well as the impact of exposure to elevated temperatures on electromagnetic ageing was identified. When compared to the petroleum insulating effectiveness for typical converters, propylene is conducive to good, polyethylene terephthalate, as well as biopolymer, performed better. Both the impact of educational substances as well as petroleum testing results were statistically analysed using such a two-parameter approach. Gumbel's product line Both inverted strength as well as logarithmic equations have been utilised to make accurate predictions, as well as the Auxetic object's electrical sensitivity values have been calculated. These practical findings demonstrate that perhaps the ETFE regression models inside the inverted polynomial equation as well as exponentially functional models outperform those for the petroleum insulating oil, as well as the sheathing fibre is ETFE able to be maintained inside the transformers reliably.

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Detection of Methanol in Power Transformer Oil Using Spectroscopy

Cited by 9 publications

References 24 publications

A review on a novel method for aging evaluation of transformer insulating paper based on methanol

A review on a novel method for aging evaluation of transformer insulating paper based on methanol

Quantitative Analysis of Acetone in Transformer Oil Based on ZnO NPs@Ag NWs SERS Substrates Combined with a Stoichiometric Model

An investigation on the electrical ageing properties of fibre sheathing compounds in power transformer oil

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