Neural network approach to separate aging and moisture from the dielectric response of oil impregnated paper insulation

Bétié, A.; Meghnefi, F.; Fofana, I.; Yéo, Z.; Ezzaidi, Hassan

doi:10.1109/tdei.2015.004731

Cited by 27 publications

(11 citation statements)

References 21 publications

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“…Hadjadj et al [131] reported the feasibility of using poles to get rid of/encompass equipment volume effect. Attempts to separate moisture and aging have been reported in the last decades [131][132][133][134].…”

Section: Frequency Domain Spectroscopymentioning

confidence: 99%

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Fofana

Hadjadj

2016

Energies

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Abstract:The condition of the internal cellulosic paper and oil insulation are of concern for the performance of power transformers. Over the years, a number of methods have been developed to diagnose and monitor the degradation/aging of the transformer internal insulation system. Some of this degradation/aging can be assessed from electrical responses. Currently there are a variety of electrical-based diagnostic techniques available for insulation condition monitoring of power transformers. In most cases, the electrical signals being monitored are due to mechanical or electric changes caused by physical changes in resistivity, inductance or capacitance, moisture, contamination or aging by-products in the insulation. This paper presents a description of commonly used and modern electrical-based diagnostic techniques along with their interpretation schemes.

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Section: Frequency Domain Spectroscopymentioning

confidence: 99%

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Fofana

Hadjadj

2016

Energies

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“…Many studies [3,6,7,11,12] have been published on the subject of separating aging and moisture from FDS results. These studies, which contributed to the development of the FDS technique, are used in diagnosing the insulation conditions of field power transformers.…”

Section: Resultsmentioning

confidence: 99%

Insulating and Thermal Aging Dielectric Properties Dependency of Transformer Oil Using Spectroscopy Techniques

Belmecheri¹,

Seghier²,

Belkheiri³

et al. 2019

I2M

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Power transformers are of the key and the most expensive devices used in electrical power transmission systems. Maintenance is essential in increasing the life time of these devices [1]. Degradation and aging of the insulation is recognized as one of the major causes of transformer breakdowns [2]. Characterization and analysis of the dielectric fluid quality level are used to ensure the proper functioning of the insulation [3-5]. This helps understanding the causes of possible internal defects [1, 6]. The purpose of this study is to investigate on service-aged oil transformers as well as on oil aged ones in laboratory conditions. Accelerated thermal and chemical aging procedures were performed in the laboratory [7]. IDA 200 was used to evaluate the frequency scan of insulation material properties. The dissipation factor, conductivity, real, imaginary part of permittivity, were measured as function of the temperature and the frequency. Through this study, it was found that despite the approximation of test conditions, the results obtained for these samples are different. However, the results indicate that the accelerated aging in the laboratory conditions does not really reflect the state of the oil.

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“…However, it must be emphasized that moisture and aging separation still constitute a challenging point in this domain [6,34,35].…”

Section: Moisture In Oil Determinationmentioning

confidence: 99%

Review of Physicochemical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

et al. 2016

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Abstract:A power transformer outage has a dramatic financial consequence not only for electric power systems utilities but also for interconnected customers. The service reliability of this important asset largely depends upon the condition of the oil-paper insulation. Therefore, by keeping the qualities of oil-paper insulation system in pristine condition, the maintenance planners can reduce the decline rate of internal faults. Accurate diagnostic methods for analyzing the condition of transformers are therefore essential. Currently, there are various electrical and physicochemical diagnostic techniques available for insulation condition monitoring of power transformers. This paper is aimed at the description, analysis and interpretation of modern physicochemical diagnostics techniques for assessing insulation condition in aged transformers. Since fields and laboratory experiences have shown that transformer oil contains about 70% of diagnostic information, the physicochemical analyses of oil samples can therefore be extremely useful in monitoring the condition of power transformers.

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Neural network approach to separate aging and moisture from the dielectric response of oil impregnated paper insulation

Cited by 27 publications

References 21 publications

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Insulating and Thermal Aging Dielectric Properties Dependency of Transformer Oil Using Spectroscopy Techniques

Review of Physicochemical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

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