Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid
Anne Carolina Rodrigues Klaar,
Laio Oriel Seman,
Viviana Cocco Mariani
et al.
Abstract:The electrical energy supply relies on the satisfactory operation of insulators. The ultrasound recorded from insulators in different conditions has a time series output, which can be used to classify faulty insulators. The random convolutional kernel transform (Rocket) algorithms use convolutional filters to extract various features from the time series data. This paper proposes a combination of Rocket algorithms, machine learning classifiers, and empirical mode decomposition (EMD) methods, such as complete e… Show more
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