A hybrid time-domain near-memory MAC prototype using pulse-encoded inputs and current-steering DAC weights achieves 7.62 TOPS/W energy efficiency with RTL-synthesized digital blocks for portability.
Characterization of Partial Discharges in High-Frequency Transformer Under PWM Pulses
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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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.
citing papers explorer
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Time Domain Near Memory Computing Engine
A hybrid time-domain near-memory MAC prototype using pulse-encoded inputs and current-steering DAC weights achieves 7.62 TOPS/W energy efficiency with RTL-synthesized digital blocks for portability.
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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.