AWA patterns from PD pulse amplitude, width, and area enable CNNs to classify single and mixed partial discharge sources under switching voltage with over 96% test accuracy.
A Review of Knowledge -Based Defect Identification via PRPD Patterns in High Voltage Apparatus
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
PT-WNO augments Point Transformer skip connections with a WNO branch on volumetric grids to capture multi-scale global context, reporting +1.03 mIoU on S3DIS Area 5 and +1.47 on DALES over the PTv3 baseline.
citing papers explorer
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Classification of Single and Mixed Partial Discharges under Switching Voltage Using an AWA-CNN Framework
AWA patterns from PD pulse amplitude, width, and area enable CNNs to classify single and mixed partial discharge sources under switching voltage with over 96% test accuracy.
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PT-WNO: Point Transformer with Wavelet Neural Operator for 3D Point Cloud Semantic Segmentation
PT-WNO augments Point Transformer skip connections with a WNO branch on volumetric grids to capture multi-scale global context, reporting +1.03 mIoU on S3DIS Area 5 and +1.47 on DALES over the PTv3 baseline.