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Dissolved gas analysis using expert system

Student Conference on Research and Development, 2003
This project is to study a dissolved gas analysis of transformer oil using an expert system. A prototype of an expert system based on the dissolved gas analysis techniques for diagnosis of a suspected transformer faults and the appropriate maintenance actions to be taken.
M. Binti Ahmad, Z. bin Yaacob
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Advances in data mining for dissolved gas analysis

Conference Record of the 2000 IEEE International Symposium on Electrical Insulation (Cat. No.00CH37075), 2002
This paper reports NGC's continued application and refinement of a data mining technique based on the Kohonen neural network. The technique has been applied to NGC's database of transformer dissolved gas-in-oil analysis (DGA) measurements for high voltage transformers.
D.G. Esp, A.J. McGrail
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Dissolved Gas Analysis methods for distribution transformers

2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2016
This paper proposes a program development for evaluating a condition of insulating oil of distribution transformer from Dissolved Gas Analysis (DGA) sampling data. The DGA methods such as Key Gas method, Total Dissolved Combustible Gas (TDCG), Dornenburg Ratio method, Rogers Ratio method and Duval Triangle method are applied to assess actual condition ...
Ekkarach Wannapring   +2 more
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Transformer Fault Diagnosis by Dissolved-Gas Analysis

IEEE Transactions on Industry Applications, 1980
The great majority of incipient faults occurring in power transformers gives evidence of their presence early in their developmental stages. Oil and oil-impregnated electrical insulating materials can decompose under the influence of thermal and electrical stresses generating gaseous decomposition products which dissolve in the mineral oil.
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Highly sensitive Raman system for dissolved gas analysis in water

Applied Optics, 2016
The detection of dissolved gases in seawater plays an important role in ocean observation and exploration. As a potential technique for oceanic applications, Raman spectroscopy has already proved its advantages in the simultaneous detection of multiple species during previous deep-sea explorations.
Dewang, Yang   +5 more
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Dissolved gas analysis, measurements and interpretations

2018
Oil-filled power transformers were first conceived and manufactured in the mid-tolate-1800s. They were (and to this day are) an essential component of the electrical power transmission and distribution infrastructure. Power transformers perform a power conversion function.
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Dissolved gas analysis of alternative fluids for power transformers

IEEE Electrical Insulation Magazine, 2007
In order to detect incipient faults in mineral oil-filled transformers, dissolved gas analysis (DGA) is used. Meanwhile, there are alternative fluids that can be used such as ester-based transformer fluids that demand more precise dissolved gas measurements and modified or new ration criteria to allow fault detection and diagnosis. In order to find out
Khan, Imad Ullah   +3 more
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New techniques for dissolved gas-in-oil analysis

IEEE Electrical Insulation Magazine, 2003
Dissolved gas analysis (DGA) is one of the major maintenance tools for monitoring faults in high-voltage electrical equipment in service. An increasing number of oil samples are analyzed for DGA in laboratories. This paper, a report of CIGRE Task Force 15-01-07, evaluates several newly developed techniques to extract gas from oils.
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A novel visualisation technique for dissolved gas analysis datasets

2013 Australasian Universities Power Engineering Conference (AUPEC), 2013
Dissolved gas analysis is the most widely used diagnostic test in power transformers. There are established methods used in industry for interpreting DGA results. Among these are the IEEE Key Gas Method, Rogers' Ratios and the Duval Triangle. However, collectively these methods can lead to conflicting results or unclassifiable measurements.
G. E. Lee   +2 more
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Performance enhancement of dissolved gas analysis using ANFIS

Third International Conference on Computational Intelligence and Information Technology (CIIT 2013), 2013
This paper presents a method for performance enhancement of Dissolved Gas Analysis through Adaptive Neuro - Fuzzy Inference System for fault detection and classification of incipient faults in power transformers. The proposed method is evaluated and results indicate that it is an effective tool for classification of incipient faults. The performance of
N. Yadaiah, N. Ravi
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