DGA Method Based on Fuzzy for Determination of Transformer Oil Quality

Author(s):  
Obhi Thiessaputra ◽  
Muhamad Haddin ◽  
Sri Arttini Dwi Prasetyowati
Keyword(s):  
2019 ◽  
pp. 36-41
Author(s):  
S. P. Vysogorets ◽  
A. N. Nazarychev ◽  
A. A. Pugechov

The theoretical foundations of changes in the transformer oil quality characteristics, depending on the aging degree, are presented. The introduction of a new indicator of the exploitational transformer oils quality – “stability against oxidation” – is substantiated as a way of solving the scientific and technical problem of assessing the resource characteristics of a transformer insulating system. In order to select the best measures to maintain the quality of power transformers insulating oils, a newly developed “Method for the Experimental Determination of the Luquid Dielectric Resource and Measures for its Restoration” is presented.


2017 ◽  
Vol 113 ◽  
pp. 01008 ◽  
Author(s):  
Anastasiya Tyuryumina ◽  
Andrey Batrak ◽  
Victor Sekackiy

2021 ◽  
Vol 2(50) ◽  
Author(s):  
Vladimir Kozlov ◽  
◽  
Dilya Valiullina ◽  
Olga Kurakina ◽  
◽  
...  

During operation of the transformer, the oil in it undergoes profound changes usually referred to as aging. The electrical insulating properties of it deteriorate, and sediments accumulate on the active part, which makes it difficult to remove heat. Inhomogeneous solid formations can induce not only the voltage breakdown, but also impair the parameters such as viscosity and other char-acteristics of the oil, which are important for the reliable operation of the power transformers. Aromatic groups initially is present in the transformer oil composition during the operation of the oil, and because of the aging processes, the concentration of the unsaturated cyclic com-pounds increases. The aim of this work is to develop a new method for the determination of the aromatic compounds and colloidal particles. This goal is achieved using a visual inspection of the transformer oil samples in the visible range. The most significant result of the paper is the establishment of a correlation between the acid number of the transformer oil (KOH), the tan-gent of the dielectric loss angle and the type of oil image under the visible light illumination. The significance of the obtained results lies in the fact that the presented method based on the analy-sis of the scattered and transmitted radiation, makes it possible to determine the presence of the aromatic compounds and colloidal particles in the transformer oil, as well as to define their con-centration and size. This method simplifies the analysis of the transformer oil quality, and re-duces the cost of the research, which is an important factor for the electric power industry.


Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1809
Author(s):  
Mohammed El Amine Senoussaoui ◽  
Mostefa Brahami ◽  
Issouf Fofana

Machine learning is widely used as a panacea in many engineering applications including the condition assessment of power transformers. Most statistics attribute the main cause of transformer failure to insulation degradation. Thus, a new, simple, and effective machine-learning approach was proposed to monitor the condition of transformer oils based on some aging indicators. The proposed approach was used to compare the performance of two machine-learning classifiers: J48 decision tree and random forest. The service-aged transformer oils were classified into four groups: the oils that can be maintained in service, the oils that should be reconditioned or filtered, the oils that should be reclaimed, and the oils that must be discarded. From the two algorithms, random forest exhibited a better performance and high accuracy with only a small amount of data. Good performance was achieved through not only the application of the proposed algorithm but also the approach of data preprocessing. Before feeding the classification model, the available data were transformed using the simple k-means method. Subsequently, the obtained data were filtered through correlation-based feature selection (CFsSubset). The resulting features were again retransformed by conducting the principal component analysis and were passed through the CFsSubset filter. The transformation and filtration of the data improved the classification performance of the adopted algorithms, especially random forest. Another advantage of the proposed method is the decrease in the number of the datasets required for the condition assessment of transformer oils, which is valuable for transformer condition monitoring.


2021 ◽  
Author(s):  
S. Mindjou ◽  
F. Brahmi ◽  
W. Belkhiri ◽  
N. Adjeroud ◽  
L. Benali ◽  
...  

Cucurbita species are delicious, nutritious, and delightful products. Cucurbita seeds remain in large quantities as a waste product that could be valorized since they are excellent sources of oil. The aim of this study was to compare the seed oil of two Cucurbita species (Cucurbita pepo and Cucurbita moschata) harvested in Bejaia (Algeria). The oil quality was evaluated by the determination of some physicochemical parameters, and the content of phenolic compounds. The antiradical capacity of the antioxidants present in the oils was also assessed using two methods. The oil yield was 42.85% and 40.47% from the seeds of Cucurbita pepo and Cucurbita moschata, respectively. The determined physicochemical parameters were close to those defined by the international standards. The phenolic contents of the methanolic extracts of both oils were 5.53 and 4.45 mg GAE/100 g for Cucurbita moschata and Cucurbita pepo, respectively. The best anti-DPPH power was attributed to the oil of Cucurbita moschata (44.7%), while the methanolic extract of the seed oil of Cucurbita pepo showed the highest percentage (41.02%) of the ABTS•+ radical inhibition. By this study we confirmed that the Cucurbita seeds oil are highly nutritious and offer some medicinal benefits.


2006 ◽  
Vol 55 (5) ◽  
pp. 317-321 ◽  
Author(s):  
Naoya OHMURA ◽  
Thomas R. GLASS ◽  
Kazuhiro SASAKI ◽  
Takashi JOH ◽  
Yumiko ITOH

2021 ◽  
Vol 2009 (1) ◽  
pp. 012081
Author(s):  
Qinqin Liang ◽  
Zongchang Luo
Keyword(s):  

2011 ◽  
Vol 347-353 ◽  
pp. 3337-3340
Author(s):  
Shu Ting Qi ◽  
Yu Xin Shi ◽  
Ming Dong ◽  
Hong Qing Wu ◽  
Di Mu

Methods currently used for the quantitative determination of total lipids and fatty acid composition in plant require solvent extraction. This study examined the solvent extraction of purple medic seed oil. Results varied with different extraction conditions. The effects of temperature, extraction time, sample size and solvent type on the extraction efficiency and oil quality were studied. The amount of extract collected was highest when ether absolute was used as a solvent for solvent extraction.


Author(s):  
Petr S. Gulyaev ◽  
Alexander N. Teplykh ◽  
Andrey Y. Dyachenko

Most of the failures of turbine flow converters (TFC) used in the Russian system of main oil pipelines and oil product pipelines are caused by abrupt changes in the viscosity of the transported medium. In studies related to determination of the influence of the rheological properties of the pumped oil on the metrological characteristics of TFC that have a calibration curve in the form of a piecewise approximation without taking into account the correlation of TFC rotor speed with the viscosity of the pumped liquid in the flow rate subrange, the instability of the metrological characteristics in the operating range is observed. Taking into account the tendency to increase the volume of production and pumping of high-viscosity oils it can be assumed that the irregularity of the metrological characteristics of TFC, expressed in the change in the conversion factor will remain, which will negatively affect the reliability of accounting operations using oil quality control system (OQCS). Accordingly there is a need to maintain the error of TFC within the set limits in the subranges and throughout the entire range of flow rates. According to the results of the study performed by the authors it was confirmed that for the TFC of MVTM type the use of the calibration curve in the form of a piecewise-parabolic approximation with the dependence of the conversion factor on the ratio of TFC pulse frequency to the oil viscosity makes it possible to minimize the effect of changes in the parameters of the pumped medium on the measurement accuracy and as a consequence to stabilize the metrological characteristics of TFC in the recalibration interval, eliminate the costs of performing out-of-turn verifications, increase the accuracy and metrological reliability of the OQCS. Большинство отказов турбинных преобразователей расхода (ТПР), используемых в российской системе магистральных нефтепроводов и нефтепродуктопроводов, обусловлено резкими изменениями вязкости транспортируемой среды. В исследованиях по определению влияния реологических свойств перекачиваемой нефти на метрологические характеристики ТПР, имеющих градуировочную характеристику в виде кусочно-линейной аппроксимации без учета корреляции частоты вращения ротора ТПР с вязкостью перекачиваемой жидкости в поддиапазоне расхода, отмечается нестабильность метрологических характеристик в рабочем диапазоне. Учитывая тенденцию увеличения объема добычи и перекачки высоковязких нефтей, можно предположить, что непостоянность метрологических характеристик ТПР, выражаемая в изменении коэффициента преобразования, сохранится, что негативно скажется на достоверности учетных операций с применением систем измерений количества и показателей качества нефти (СИКН). Соответственно, возникает потребность в поддержании погрешности ТПР в установленных пределах в поддиапазонах и во всем диапазоне расходов. По результатам проведенного авторами исследования подтверждено, что для ТПР типа MVTM использование градуировочной характеристики в виде кусочно-параболической аппроксимации с зависимостью коэффициента преобразования от отношения частоты импульсов ТПР к вязкости нефти позволяет минимизировать влияние изменений параметров перекачиваемой среды на точность измерений и, как следствие, стабилизировать метрологические характеристики ТПР в межповерочном интервале, исключить затраты на выполнение внеочередных поверок, повысить точность и метрологическую надежность СИКН.


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