Produção Nacional
Felipe Munaro Lima, André Abel Augusto, Vitor Hugo Ferreira,
Machine Learning techniques for fault location and diagnosis in phase shift power transformers have been proposed in the literature. However, most of them adopt loss functions that consider a few moments of the error distribution, not adequately extracting the information stored in data available for diagnosis. Information theoretic criteria can overcome this limitation, resulting in better training and inference, and consequently, enhancing the fault analysis. This work presents an information ...
Tópico(s): Electricity Theft Detection Techniques
2022 - | Congresso Brasileiro de Automática
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