Development of nominal rules on the Fuzzy Sugeno method to determine the quality of power transformer insulation oil using Dissolved Gas Analysis data [PDF]
Jurnal Ilmiah SINERGI, 2023 This paper aims to develop the nominal rules on the Fuzzy Logic Method using the Sugeno-Fuzzy Inference System (FIS) for Dissolved Gas Analysis (DGA) and determine the quality of the power Transformer 1 and Transformer 6 insulating oil at the Buduran 150
Ha'imza Ha'imza +2 more
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Research progress of online monitoring techniques for dissolved gas analysis in insulating oil [PDF]
Frontiers in ChemistryDissolved gas analysis (DGA) in insulating oil can achieve early warning of local discharge, overheating or arc failure in transformers. It can also quantitatively evaluate the aging degree of insulating equipment, providing a basis for formulating ...
Hua Mao +13 more
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Dissolved gas content forecasting in power transformers based on Least Square Support Vector Machine (LSSVM) [PDF]
Latin-American Journal of Computing, 2017 Taking into account the chaotic characteristic of gas production within power transformers, a Least Square Support Vector Machine (LSSVM) model is implemented to forecast dissolved gas content based on historical chromatography samples.
Roberto Fiallos
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Data-driven Fault Diagnosis of Power Transformers using Dissolved Gas Analysis (DGA)
International Journal of Technology, 2020 A power transformer is a critical piece of equipment in a power plant for distributing electricity, and it experiences thermal and electrical stresses during operation.
Arian Dhini +4 more
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Low-Power Chemiresistive Gas Sensors for Transformer Fault Diagnosis [PDF]
MoleculesDissolved gas analysis (DGA) is considered to be the most convenient and effective approach for transformer fault diagnosis. Due to their excellent performance and development potential, chemiresistive gas sensors are anticipated to supersede the ...
Haixia Mei +3 more
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks [PDF]
EntropyDissolved Gas Analysis (DGA) of transformer oil is a critical technique for transformer fault diagnosis that involves analyzing the concentration of gases to detect potential transformer faults in a timely manner.
Haikun Shang, Yanlei Wei, Shen Zhang
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A novel approach for oil-based transformer fault identification in electrical secondary distribution networks [PDF]
HeliyonOil-immersed transformers are mostly installed equipment in electrical power networks. Thus, ensuring the reliability of these equipment is paramount. Fault identification is one of the measures taken to ensure the reliability.
Hadija Mbembati, Hussein Bakiri
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A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks [PDF]
EntropyDissolved gas analysis (DGA) in transformer oil, which analyzes its gas content, is valuable for promptly detecting potential faults in oil-immersed transformers.
Haikun Shang +3 more
doaj +2 more sources
Optimal Data Selection Rule Mining for Transformer Condition Assessment
IEEE Access, 2021 The condition of the transformer can be accurately assessed based on dissolved gas online monitoring and analysis technology. With the widespread use of Dissolved Gas Analysis (DGA) technology, a large amount of dissolved gas time series data is obtained
Peng Zhang +6 more
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Analisis Perawatan Berkala Trafo Distribusi 800 kVA pada Rumah Sakit X Kota Tangerang
Elektrika, 2023 In Indonesia, electricity supply for buildings or buildings with needs above 200kVA requires a distribution transformer owned by the customer, so that electrical energy transactions are carried out on the medium voltage side of 20kV.
Ridho Alpha Kusuma +2 more
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