Verification of Interpretability of Phase-Resolved Partial Discharge Using a CNN With SHAP
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DOI: 10.1109/access.2023.3236315
Abstract: Deep neural networks can be used to distinguish partial discharge (PD) signals despite their complexity. This study analyzes the appropriateness of interpreting phase-resolved partial discharge (PRPD) signals using a convolutional neural network (CNN) through the… read more here.
Keywords: partial discharge; phase resolved; discharge; resolved partial ... See more keywords