scholarly journals Control of the degradation of the mineral transformer oils hydrocarbon base

2020 ◽  
Vol 216 ◽  
pp. 01055
Author(s):  
Marsel Sh. Garifullin ◽  
Yuliya N. Solobodina ◽  
Azat R. Bikzinurov ◽  
Ruslan A. Giniatullin ◽  
Alla G. Logacheva
Keyword(s):  
Ir Spectroscopy ◽  
Hydrocarbon Composition ◽  
Transformer Oil ◽  
Mineral Oils ◽  
Field Of Vision ◽  
Transformer Oils ◽  
Suggested Criterion ◽  
Degree Of Degradation

Currently, the degree of degradation of the oils hydrocarbon base remains outside the field of vision of operating services. The aim of this work was to analyse the process of regeneration of aged mineral transformer oils using adsorption cleaning. IR spectroscopy shows that the hydrocarbon composition of oils undergoes changes during operation. And those changes are cannot be restored. We propose the concept for the control of destruction degree of the mineral oils hydrocarbon base. The suggested criterion based on the IR method may be used when decision is making whether the transformer oil should be replaced with a new one.

APPLICATION OF IR SPECTROSCOPY IN THE STUDY OF MINERAL OIL

2017 ◽  
pp. 91-95
Author(s):  
E. I. Grushova ◽  
A. .. Al Razuqi ◽  
E. S. Chaiko ◽  
O. A. Miloserdova
Keyword(s):  
Ir Spectroscopy ◽  
Group Composition ◽  
Mineral Oil ◽  
Vacuum Distillate ◽  
Methyl Tertiary Butyl Ether ◽  
Butyl Ether ◽  
Tertiary Butyl ◽  
Mineral Oils ◽  
Modifying Additive

IR spectroscopy investigated structural and group composition of base mineral oils isolated from the vacuum distillate by selective purification of N-methylpyrrolidone and the low temperature dewaxing in the presence of a solvent. The role of the latter was carried out by the systems acetone - toluene, acetone - methyl tertiary butyl ether, methyl ethyl ketone - toluene, acetone - toluene - modifying additive. It was shown that the chemical composition of the group of base oils and slack waxes is defined as the nature of the solvent to the dewaxing, and oils sequence of purification steps.

Thermal Ageing of Some Insulating Fluids in Contact with Insulation Paper and Copper

2018 ◽  
Vol 68 (12) ◽  
pp. 2881-2885
Author(s):  
Iosif Lingvay ◽  
Gabriela Oprina ◽  
Livia Carmen Ungureanu ◽  
Alexandra Pica ◽  
Valerica Stanoi
Keyword(s):  
Experimental Data ◽  
Dissolved Oxygen ◽  
Copper Foil ◽  
Atmospheric Oxygen ◽  
Thermal Ageing ◽  
Dissolved Oxygen Concentration ◽  
Mineral Oils ◽  
Synthetic Ester ◽  
Cu2o Film ◽  
Transformer Oils

The behaviour of copper and insulation paper in various electrical insulating fluids (transformer oils) exposed to thermal ageing at 110�30C for 1000 hours in closed vessels (without access to atmospheric oxygen) has been studied. The processing of the comparative experimental data revealed in all cases that the concentration of dissolved oxygen in the investigated oils decreases exponentially during the heat treatment. In the presence of the copper foil, the oxygen is almost depleted (the dissolved oxygen concentration is approaching zero), indicating a higher affinity of the copper to oxygen than the affinity to oxygen of the investigated oils. In the presence of the copper foil and / or of the insulation paper, the degradation processes of the mineral oils have a pronounced character, explained by the catalytic activity of the Cu2O film that has been formed and by the paper degradation, respectively. A high thermo-oxidative stability was noticed in the case of natural triglyceride oils, particularly for the synthetic ester-based oil.

scholarly journals Transformer Oil Quality Assessment Using Random Forest with Feature Engineering

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1809
Author(s):  
Mohammed El Amine Senoussaoui ◽  
Mostefa Brahami ◽  
Issouf Fofana
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Oil Quality ◽  
Principal Component ◽  
Condition Assessment ◽  
Classification Performance ◽  
Transformer Oil ◽  
Classification Model ◽  
Insulation Degradation ◽  
Transformer Oils

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.

The Research and Analysis on the Bean Transformer Oil

2012 ◽  
Vol 512-515 ◽  
pp. 486-490
Author(s):  
Dong Lv ◽  
Jin Xiang Sun ◽  
Jin Li
Keyword(s):  
Vegetable Oil ◽  
Fire Safety ◽  
Transformer Oil ◽  
Thermal Activity ◽  
Addition Agent ◽  
Environment Friendly ◽  
Transformer Oils ◽  
Chemical Characters ◽  
Physical And Chemical ◽  
Friendly Character

Characters of many types of transformer oils were researched in this paper. Vegetable oil made from bean was considered suitable transformer oil by comparing their physical and chemical characters, which are include fire safety, insulation, parameter related thermal activity, stability, and other issues such as environment-friendly character, etc. It can point out that the vegetable oil with appropriate addition agent will be a kind of popular transformer oil in the future.

METHOD FOR EXPERIMENTAL DETERMINATION OF THE LIQUID DIELECTRIC RESOURCE AND MEASURES FOR ITS RESTORATION

2019 ◽  
pp. 36-41
Author(s):  
S. P. Vysogorets ◽  
A. N. Nazarychev ◽  
A. A. Pugechov
Keyword(s):  
Experimental Determination ◽  
Oil Quality ◽  
Technical Problem ◽  
Transformer Oil ◽  
Quality Stability ◽  
Transformer Oils ◽  
Resource Characteristics ◽  
Theoretical Foundations

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.

scholarly journals CORRECTION OF TRANSFORMER OIL BREAKDOWN VOLTAGE MAXIMUM PERMISSIBLE VALUES BY THE MINIMUM RISK METHOD

2020 ◽  
pp. 105-114
Author(s):  
O. V. Shutenko ◽  
S. H. Ponomarenko
Keyword(s):  
Breakdown Voltage ◽  
A Priori ◽  
Risk Function ◽  
Statistical Processing ◽  
Transformer Oil ◽  
Economic Damage ◽  
Average Risk ◽  
Distribution Laws ◽  
Transformer Oils ◽  
The Given

The method of correction of maximum permissible values of breakdown voltage of transformer oils in order to minimize possible economic damage in case of making erroneous decisions during diagnostics of the condition of transformer oils according to the results of periodic tests is proposed. An algorithm for statistical processing of the periodic test results is described, the use of which allows forming arrays with homogeneous values of the indicators under a priori limited measuring information. Analysis of distribution laws of breakdown voltage values for the transformer oils suitable and unsuitable for operation according to the values of this indicator is done. According to the results of the analysis, it was found that the breakdown voltage values of oils with different states have Weibull distribution. It was determined that the values of mathematical expectations of breakdown voltage of serviceable oils with the ageing of transformer oils shifts to the area of low values. It means that the breakdown voltage maximum permissible values of oils for the given distributions should be different. It is confirmed by the previously known fact that for unimodal distributions, the maximum permissible values of indicators that provide a minimum of risk are in an interval bounded by the mathematical expectation of the indicator distributions with different states. A decisive rule is formulated and an average risk function is compiled to adjust the maximum permissible breakdown voltage values of transformer oils. Based on the minimisation of the average risk function by Newton's method, the maximum permissible values of the breakdown voltage of oils have been determined. The made comparative analysis has shown that the correction of maximum permissible values of breakdown voltage of oils allows decreasing the risk values by 1.52÷19.13 times in comparison with risks, which provide the use of maximum permissible values, regulated in standards. It was found that the maximum permissible values of the breakdown voltage of oils, providing a minimum value of average risk, are not constant. They vary depending on the values of faulty decision prices and the probabilities of occurrence of different defective and defect-free oil states of transformers.

scholarly journals Validation of an improved European standard method for the determination of PCBs in oil samples

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Zdenka Cencič Kodba ◽  
Darinka Brodnjak Vončina
Keyword(s):  
Transformer Oil ◽  
Gas Chromatograph ◽  
European Standard ◽  
Internal Standards ◽  
Standard Methods ◽  
Average Recovery ◽  
Mineral Oils ◽  
Waste Oils ◽  
Analytical System

Two European standard methods (EN 12766 and EN 61619) are currently used for the determination of PCBs in specific oil matrix. However, apolar matrix compounds (e.g. hydrocarbons) elute from the adsorbent together with the PCBs and are injected into the analytical system where their presence contaminates the inlet, detectors and columns; and decreases system performances. Insufficient cleanup causes delay of elution of PCBs from GC columns. By using new sulfoxide-bonded silica, PCBs are better separated from aliphatic hydrocarbons because the specificity of the stationary phase for these compounds is much higher that that used in both standard methods. A gas chromatograph AT6890 with two capillary columns of different polarities (HP-5MS and DB-1701) coupled to two μECDs is used. Oven temperature program is as followed: 90°C (1 min), 70°C/min to 180°C, 5°C/min to 230°C (0.1 min), 1.5°C/min to 280°C. Run time is 46 min. The procedure was validated through regular analysis of blanks, fortified samples (transformer oil, motor used and unused oil) and certified materials (BCR-449 and BCR-420, waste mineral oils, high and low PCB levels). Two internal standards were used (PCB 30 and PCB 209). An average recovery ± RSD of 82.8 ± 5.4 % was achieved for all six PCBs in different matrices. The LOQ per single PCB congener is 0.2 mg kg-1. The average recovery ± RSD for the BCR-420 is 92.0 ± 4.6 % and for the BCR-449 is 105 ± 2.5 % for all certified PCBs in waste oils.

scholarly journals Application of IR spectroscopy to control oxidation inhibitor (ionol) concentration in mineral transformer oils

2020 ◽  
Vol 216 ◽  
pp. 01056
Author(s):  
Marsel Sh. Garifullin ◽  
Marina N. Lyutikova ◽  
Adelya R. Kuchkarova ◽  
Azat R. Bikzinurov ◽  
Yuliya N. Solobodina
Keyword(s):  
Gas Chromatography ◽  
Ir Spectroscopy ◽  
Oxidation Process ◽  
Antioxidant Additive ◽  
Residual Concentration ◽  
Main Method ◽  
Transformer Oils ◽  
Gas Chromatographic Method ◽  
Insulating Properties

Mineral insulating oils used as dielectric and heat dissipating agent in high voltage oil-filled equipment are subject to oxidation. Oxidation results in the appearance of undesirable substances that reduce the electrical insulating properties of liquids. Therefore, to inhibit the oxidation process, an antioxidant additive is introduced into transformer oils. In the overwhelming majority, 2,6-di-tert-butyl-4-methylphenol (ionol) is used as an inhibitor. Residual concentration of ionol is a regularly monitored parameter. In Russia, the main method for determining the concentration of ionol in oil is gas chromatography. However, fourier-transform infrared spectroscopy should be considered as an alternative method for monitoring the ionol content as it has a number of advantages over the gas chromatographic method. The paper compares the results of the determination of ionol in operational transformer oils using gas chromatography and the IR method. We justified that the method of IR spectroscopy has no limitations as applied to oils from power transformers equipped with adsorption purification systems.

Pcbs in Soils around an Old Electric Transformer Factory in North China

2014 ◽  
Vol 587-589 ◽  
pp. 550-553
Author(s):  
Zhi Yong Li ◽  
Lan Chen ◽  
Yu Heng Quan ◽  
Yan Song
Keyword(s):  
North China ◽  
Surface Soil ◽  
Principal Component ◽  
Mean Value ◽  
Transformer Oil ◽  
Total Pcbs ◽  
Pcb Congeners ◽  
Transformer Oils ◽  
The Mean ◽  
Compositional Patterns

The 28 surface soil samples (0-10 cm) were collected from the urban area of Baoding city nearby an old electric transformer factory for analysis of 84 PCB congeners. Total PCBs concentrations ranged from 0.69 to 11.15 ng/g (mean: 3.62 ng/g). The PCBs concentration (5.72 ng/g) for sampling sites in the vicinity (0-2.5 km) of the transformer factory was higher than that (2.96 ng/g) for other sampling sites. Compositional patterns of individual congener and homologs were similar to those of Chinese transformer oils. The top five congeners were PCB-6, 18, 22, 33 and 31/28 among the identified PCBs. Low chlorinated PCBs (di-to tetra-CBs) accounted for 69.58% of total PCBs concentrations and the predominant PCB homologs were tri-CBs (46.38%), penta-CBs (13.73%) and di-CBs (9.47%), respectively. Principal component analysis showed that technical formulations such as Chinese transformer oil, Aroclor1242, 1016, KC-300 and A-30 were the main sources of soils PCBs from Baoding city. The TEQ concentrations based on ten dioxin-like PCBs ranged from 0 to 26.0986 ng/kg with the mean value as 7.3336 ng/kg.

scholarly journals Magnetic Field Effect on Thermal, Dielectric, and Viscous Properties of a Transformer Oil-Based Magnetic Nanofluid

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4532 ◽  
Author(s):  
Michal Rajnak ◽  
Zan Wu ◽  
Bystrik Dolnik ◽  
Katarina Paulovicova ◽  
Jana Tothova ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Thermal Conductivity ◽  
Volume Fraction ◽  
Effective Medium Theory ◽  
Transformer Oil ◽  
Dielectric Anisotropy ◽  
Magnetic Nanofluid ◽  
Conductivity Sensor ◽  
Anisotropic Thermal Conductivity ◽  
Transformer Oils

Progress in electrical engineering puts a greater demand on the cooling and insulating properties of liquid media, such as transformer oils. To enhance their performance, researchers develop various nanofluids based on transformer oils. In this study, we focus on novel commercial transformer oil and a magnetic nanofluid containing iron oxide nanoparticles. Three key properties are experimentally investigated in this paper. Thermal conductivity was studied by a transient plane source method dependent on the magnetic volume fraction and external magnetic field. It is shown that the classical effective medium theory, such as the Maxwell model, fails to explain the obtained results. We highlight the importance of the magnetic field distribution and the location of the thermal conductivity sensor in the analysis of the anisotropic thermal conductivity. Dielectric permittivity of the magnetic nanofluid, dependent on electric field frequency and magnetic volume fraction, was measured by an LCR meter. The measurements were carried out in thin sample cells yielding unusual magneto-dielectric anisotropy, which was dependent on the magnetic volume fraction. Finally, the viscosity of the studied magnetic fluid was experimentally studied by means of a rheometer with a magneto-rheological device. The measurements proved the magneto-viscous effect, which intensifies with increasing magnetic volume fraction.

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