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Influence of Oil Status on Membrane-Based Gas–Oil Separation in DGA
Sensors, 2022 Gas–oil separation by membrane stands for a promising technique in dissolved gas analysis (DGA). Since the accuracy of DGA relies on the results of gas–oil separation to a great extent, it is necessary to study the influence factor of membrane for better
Tunan Chen +4 more
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Selecting appropriate machine learning classifiers for DGA diagnosis [PDF]
, 2018 Dissolved gas analysis (DGA) is a common method of assessing transformer health. There are a number of machine learning classifiers reported to give a high accuracy on specific datasets, such as Artificial Neural Networks or Support Vector Machines. When
Aizpurua Unanue, Jose Ignacio +7 more
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Gas and optical sensing technology for the field assessment of transformer oil [PDF]
, 2010 Oil testing has found widespread use in assessing the quality of the insulation system of a transformer. Techniques such as Dissolved Gas Analysis (DGA) have been proven to be reliable in this task, but are expensive, laborious and time consuming.
Abeyratne, Udantha +2 more
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ENP Engineering Science Journal, 2022 Power transformers are the basic elements of the power grid, which is directly related to the reliability of the electrical system. Many techniques were used to prevent power transformer failures, but the Dissolved Gas Analysis (DGA) remains the most ...
Yassine Mahamdi +3 more
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Fault diagnosis of transformer using association rule mining and knowledge base [PDF]
, 2010 Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system.
Lu, J, Zhang, G, Zhang, T
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Dissolved Gas Analysis Equipment for Online Monitoring of Transformer Oil: A Review
Sensors, 2019 Power transformers are the most important assets of electric power substations. The reliability in the operation of electric power transmission and distribution is due to the correct operation and maintenance of power transformers.
Sergio Bustamante +5 more
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Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing [PDF]
, 2018 Accurate diagnosis of power transformers is critical for the reliable and cost-effective operation of the power grid. Presently there are a range of methods and analytical models for transformer fault diagnosis based on dissolved gas analysis.
Aizpurua, Jose Ignacio +7 more
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Diagnosis Kondisi Transformator Berbasis Analisis Gas Terlarut Menggunakan Metode Sistem Pakar Fuzzy
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2014 Dissolved gas analysis of transformer oil is one of the most effective ways to determine the transformer condition. Currently, there are many interpretation techniques that have been used in data processing of dissolved gas analysis results. However, all
Gatut Yulisusianto +2 more
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Journal of Applied Informatics and Computing, 2023 IEC TC10 is the most widely used Dissolved Gas Analysis (DGA) measurement dataset nowadays. Many DGA-based studies have been carried out using conventional methods and methods based on Artificial Intelligence Techniques (AITs).
Noper Ardi +2 more
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IOP Conference Series: Materials Science and Engineering, 2018 Abstract The power transformer is an important component in the power system, as it is directly related to the reliability of the electric power system operation. Therefore, the diagnosis of disturbances in power transformers is important for device safety as well as electrical system stability.
A Muthi, S Sumarto, W S Saputra
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