Gaussian Process Multi-Class Classification for Transformer Fault Diagnosis Using Dissolved Gas Analysis

IEEE Transactions on Dielectrics and Electrical Insulation(2021)

引用 16|浏览10
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摘要
Dissolved gas analysis (DGA) is widely used for oil-immersed power transformers as a conventional fault diagnosis tool. However, interpretation criteria from DGA assessment often depends on empirical discrimination from a specialist, which can render unreliable or ambiguous diagnoses. Intelligent fault classification algorithms can be implemented to conquer uncertainty in conventional methods, and...
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关键词
Support vector machines,Training data,Gaussian processes,Artificial neural networks,Predictive models,Oil insulation,Data models
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