Predicting The Technical Condition Of The Power Transformer Using Fuzzy Logic And Dissolved Gas Analysis Method - Info and Reading Options
By International Journal of Electrical and Computer Engineering (IJECE)
“Predicting The Technical Condition Of The Power Transformer Using Fuzzy Logic And Dissolved Gas Analysis Method” Metadata:
- Title: ➤ Predicting The Technical Condition Of The Power Transformer Using Fuzzy Logic And Dissolved Gas Analysis Method
- Author: ➤ International Journal of Electrical and Computer Engineering (IJECE)
“Predicting The Technical Condition Of The Power Transformer Using Fuzzy Logic And Dissolved Gas Analysis Method” Subjects and Themes:
- Subjects: ➤ Defect recognition software - Dissolved gas analysis - Dornenburg ratio method - Fuzzy logic - Key gas criterion - Power transformer - Predictive model
Edition Identifiers:
- Internet Archive ID: ➤ 10.11591ijece.v12i2.pp1139-1146
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"Predicting The Technical Condition Of The Power Transformer Using Fuzzy Logic And Dissolved Gas Analysis Method" Description:
The Internet Archive:
Power transformers are one of the most important and complex parts of an electric power system. Maintenance is performed for this responsible part based on the technical condition of the transformer using a predictive approach. The technical condition of the power transformer can be diagnosed using a range of different diagnostic methods, for example, analysis of dissolved gases (DGA), partial discharge monitoring, vibration monitoring, and moisture monitoring. In this paper, the authors present a digital model for predicting the technical condition of a power transformer and determining the type of defect and its cause in the event of defect detection. The predictive digital model is developed using the programming environment in LabVIEW and is based on the fuzzy logic approach to the DGA method, interpreted by the key gas method and the Dornenburg ratio method. The developed digital model is verified on a set of 110 kV and 220 kV transformers of one of the sections of the distribution network and thermal power plant in the Russian Federation. The results obtained showed its high efficiency in predicting faults and the possibility of using it as an effective computing tool to facilitate the work of the operating personnel of power enterprises.
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"Predicting The Technical Condition Of The Power Transformer Using Fuzzy Logic And Dissolved Gas Analysis Method" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 6.85 Mbs, and the file-s went public at Tue Sep 13 2022.
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