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The biggest challenge in the field is undoubtedly noise. To combat this, we developed a specialized Denoiser using a U-Net style architecture. As you can see in the diagram, this deep learning model preserves the sharp transient impact of the strike, which contains the defect information, while aggressively suppressing broadband background noise. The result is remarkable. We maintain over 90% accuracy even at a critically low SNR of 5dB, a condition where traditional methods would fail completely. |
IEEE/ICACT20260214 Slide.13
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