Degradation diagnosis of transformer insulating oils with terahertz time-domain spectroscopy

Kang, Seung Beom; Kim, Won‐Seok; Chung, Dong-Chul; Joung, Jong Man; Kwak, Min Hwan

doi:10.3938/jkps.71.986

Cited by 10 publications

(6 citation statements)

References 29 publications

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“…Employing THz sensing to detect oxidation products—carbonyl and hydroxyl compounds—in oils is an effective technique, because those compounds are strongly polar and therefore strongly THz absorbing, allowing detection at low concentrations. A number of studies have been performed demonstrating high sensitivity and good discrimination of such measurements (Figure 22) [159,160,161,162,163,164,165]. Contamination by water can also be a cause of oil degradation, especially in engine oils where water is a product of fuel burning, and where sensitive THz detection has been demonstrated [165,166].…”

Section: Petrochemicalsmentioning

confidence: 99%

Industrial Applications of Terahertz Sensing: State of Play

Naftaly

Vieweg

Deninger

2019

Sensors

248

106

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Section: Petrochemicalsmentioning

confidence: 99%

Industrial Applications of Terahertz Sensing: State of Play

Naftaly

Vieweg

Deninger

2019

Sensors

248

106

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“…The main research object is to study and analyze the biodiesel content in the mixture of petroleum diesel engines by THz-TDS, and obtain the absorption characteristics of the above-mentioned oils in the terahertz band [5] . In the process of transformer insulation oil detection, domestic and foreign scholars have also conducted in-depth research [6][7] .…”

Section: Introductionmentioning

confidence: 99%

Transformer Oil Temperature Variation Based on Terahertz Time-domain Spectroscopy

Luo,

Wei,

Liu

et al. 2023

J. Phys.: Conf. Ser.

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The transmission terahertz time-domain spectroscopy system is used to measure the transformer oil terahertz spectrum at different temperatures, the time and frequency domain, time delay, and refractive information of transformer oil with different temperatures are tested. The terahertz wave of the time-domain delay of transformer oil at different temperatures is obtained, the variation of time-domain delay and refractive index with different temperatures in the terahertz band were calculated and the linear variation trend was fitted.

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“…At present, a great deal of research is devoted to the improvement of methods for diagnosing the condition of transformer oils. Improvement is carried out in two main directions -the use of new methods of measurement (for example, [4][5][6][7][8]) and improvement of decision-making methods. For example, in [9][10][11][12] neural networks of different configurations are proposed to diagnose the condition and predict the values of transformer oil indicators.…”

mentioning

confidence: 99%

Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers

Shutenko

Ponomarenko

2021

Electrical Engineering & Electromechanics

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Introduction. Ensuring the operational reliability of power transformers is an urgent task for the power industry in Ukraine and for most foreign countries. One of the ways to solve this problem is the correction of maximum permissible values of insulation parameters. However, such a correction is fundamentally impossible without an analysis of the laws of distribution of diagnostic indicators in the equipment with different states. The purpose of the research is to analyse the laws of distribution of the quality indicators of transformer oil with different states in 110 and 330 kV transformers. Novelty. It was found that both 330 kV autotransformers and 110 kV transformers have the displacements between the mathematical expectations of the distribution density of usable oil indicators. It caused by different service life of the analysed transformers and different values of load factors. This indicates the need to consider the influence of these factors when correcting the maximum permissible values of oil indicators. Also, the presence of displacement between the distribution densities of some indicators of usable oil in 110 kV transformers and 330 kV autotransformers has been revealed. It indicates a different intensity of oxidation reactions in transformers with different voltage class. In order to reduce the heterogeneity of initial data the procedure of statistical processing of in-service test results has been proposed as a method. This procedure combines the use of a priori information about the service life of equipment and values of load factors with the elements of statistical hypothesis testing. The results of the analysis of the distribution laws of transformer oil indicators with different states have shown that for both usable and unusable oil the values of oil indicators obey the Weibull distribution. Values of the shape and scale parameters for each of the obtained indices arrays have been obtained, as well as calculated and critical values of the goodness-of-fit criteria. Practical value. Obtained values of the distribution law parameters of the transformer oil indicators with different states, considering the service life and operating conditions allow to perform the correction of the maximum permissible values of the indicators using the statistical decision-making methods.

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Degradation diagnosis of transformer insulating oils with terahertz time-domain spectroscopy

Cited by 10 publications

References 29 publications

Industrial Applications of Terahertz Sensing: State of Play

Industrial Applications of Terahertz Sensing: State of Play

Transformer Oil Temperature Variation Based on Terahertz Time-domain Spectroscopy

Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers

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