Improving the reliability of transformer gas-in-oil diagnosis

Duval, Michel; Dukarm, James J.

doi:10.1109/mei.2005.1489986

Cited by 124 publications

(47 citation statements)

References 7 publications

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“…This method neglects the gases such as H2 and C2H6, and uses two highimpact processes to effectively predict the faults. Also used to diagnose faults only, and did not used to assess the quality of transformer oil (Duval & Dukarm 2005) [14]. This method is somewhat accurate because it is detected the locations of all the faults even if the ratio of the generated gas concentration is low.…”

Section: Traditional Methods Based On Dgamentioning

confidence: 99%

Faults diagnosis and assessment of transformer insulation oil quality: intelligent methods based on dissolved gas analysis a-review

Raisan

Yaacob

Alsaedi³

2015

IJET

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The search for determining accurate faults and assessing the oil quality of high voltage electrical power transformers for life-long maintenance is ever-demanding. The durability of transformers function is significantly decided by the excellence of its insulation which deteriorates over time due to temperature fluctuations and moisture contents. The accurate diagnoses of faults in early stages and the efficient assessment of oil quality using an intelligent program is the key challenges in protecting transformers from potential failures occur during operation to avoid economic losses. The dissolved gases analysis in oil is a reliable method in the diagnosis of faults and assessing the quality of insulating oil in transformers. Recently, application of artificial intelligence (AI) has included fuzzy logic, expert system (EPS), and artificial neural network (ANN), Expert system and fuzzy logic can take DGA standards. This paper represents the review most of the methods used to diagnose faults and assessment of insulating oil for transformers through the dissolved gases analysis DGA.

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Section: Traditional Methods Based On Dgamentioning

confidence: 99%

Faults diagnosis and assessment of transformer insulation oil quality: intelligent methods based on dissolved gas analysis a-review

Raisan

Yaacob

Alsaedi³

2015

IJET

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“…The Duval Triangle [11] method utilizes three % ratios of certain gases for DGA interpretation of transformers filled with mineral oil. The triangular coordinates corresponding to DGA results in ppm can be calculated by Eqs.…”

Section: Dga Methodsmentioning

confidence: 99%

Improvement in Transformer Diagnosis by DGA using Fuzzy Logic

Dhote¹,

Helonde²

2014

Journal of Electrical Engineering and Technology

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-Power transformer is one of the most important equipments in electrical power system. The detection of certain gases generated in transformer is the first indication of a malfunction that may lead to failure if not detected. Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results falls outside conventional method codes or when more than one fault exist in transformer. To overcome these limitations, fuzzy inference system (FIS) is proposed. 250 different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.

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“…Chromatographic analysis of gases dissolved in the oil, called DGA, enables us to detect inner and slowly developed defects -principally discharges with different energy density and overheatingsgiving a chance to use appropriate measures as well as to evade of expensive disconnections or failures. Thus, nowadays DGA is very efficient method to evaluate technical state of transformers [2,10,15].…”

Section: Basic Methods Used To Measure Of Partial Discharges In Transmentioning

confidence: 99%

Anusual Application of Partial Discharges to Diagnose of High Voltage Power Transformers

et al. 2011

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The article contains information on research carried out in Electric Faculty of Silesian University of Technology, made at test stations and aimed at diagnosis how is actual technical state of high voltage power oil transformers. Opinion on a state of transformers is based on analysis results of partial discharge measurements. Authors use simultaneously: electric, acoustic and dissolved gas analysis method. Applied acoustic method is the original own one. Non-conventional application of electric method is proposed, too. In the frame of chosen methodology the partial discharges are measured and next calculations of quantities describing partial discharges within particular methods are carried out in order to describe phenomena commonly for electric and acoustic method. Information sources about level and kind of partial discharges are measurement results obtained from electric method whereas information on places where partial discharges appear is contained in measurement results coming from acoustic method. Authors present selected application results of such a combined measuring method.

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Improving the reliability of transformer gas-in-oil diagnosis

Cited by 124 publications

References 7 publications

Faults diagnosis and assessment of transformer insulation oil quality: intelligent methods based on dissolved gas analysis a-review

Faults diagnosis and assessment of transformer insulation oil quality: intelligent methods based on dissolved gas analysis a-review

Improvement in Transformer Diagnosis by DGA using Fuzzy Logic

Anusual Application of Partial Discharges to Diagnose of High Voltage Power Transformers

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