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Fault Diagnosis Methods for Vegetable Oil Transformers
2018 IEEE International Conference on High Voltage Engineering and Application (ICHVE), 2018The vegetable oil, which has the advantages of high burning point, favorable biodegradability and low cost, is an ideal liquid insulating medium substitute for mineral oil. Due to the lack of operational data and production experience, the fault diagnosis methods of vegetable-oil-filled transformer are not perfect enough for large-scale applications ...
Shiyue Du, Haoxi Cong, Qingmin Li
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Review of power transformer fault diagnosis
Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022Enyuan Shi, Yifa Sheng
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Intelligent Diagnosis of Power Transformer Working Fault
2019 Chinese Control And Decision Conference (CCDC), 2019The most important power equipment in a power system is a transformer. Its mission is heavy and its cost is expensive. The safe operation of the transformer directly affects the safety of the entire power system. Once a fault occurs, it will have a huge impact on the power system and the end users. harm.
Guicheng Wang +3 more
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Modeling and Analysis of Transformer Fault Diagnosis
2019 Chinese Control Conference (CCC), 2019Power transformer is one of the most important equipment in an electric power system. Therefore, the condition monitoring of the power transformer is greatest requirement for its reliable operations and quality power supply in the power grid. Dissolved Gas Analysis (DGA) is a traditional method to detect and diagnose faults in power transformers ...
Jing Yang +7 more
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Transformer Fault Diagnosis by Dissolved-Gas Analysis
IEEE Transactions on Industry Applications, 1980The 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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Transformer fault diagnosis based on TWOA-SVM
2023 10th International Forum on Electrical Engineering and Automation (IFEEA), 2023Yongmiao Yin, Hongwei Ma, Feichao Yan
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Research on transformer fault diagnosis models with feature extraction
Review of Scientific InstrumentsTo address the challenge of low accuracy in traditional transformer fault diagnosis algorithms, this paper introduces a novel approach that utilizes the Artificial Hummingbird Algorithm (AHA) to optimize both Kernel Principal Component Analysis (KPCA) and Extreme Learning Machine (ELM). We propose the use of various gas concentration ratio features and
Yongcan Zhu +3 more
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Fault Diagnosis Method Based on Wavelet Transform
2016In 1981, Jean Morlet, a geology physical scientist of France, proposed the concept of “wavelet analysis” in the data processing of geology the first time based on the comparison of Fourier transform and Gabor transform. Overcoming the limitation of Fourier transform, wavelet transform can decompose the signal in the time-frequency domain together and ...
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Fault diagnosis of transformer based on XGBoost
Applied and Computational EngineeringAbstract. With the continuous development of technology, the fault diagnosis of transformer is also continuously advancing. Traditional fault diagnosis methods such as the three-ratio method and the characteristic gas method have the disadvantages of missing coding and limited identification capabilities.
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