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Updated: Jun 22, 2025

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从数据中心的角度推进基于深度学习的声学泄漏检测方法,从数据中心的角度将其应用于水分系统.

Yipeng Wu1, Xingke Ma1, Guancheng Guo1

  • 1School of Environment, Tsinghua University, 100084, Beijing, China.

Water research
|June 28, 2024
PubMed
概括

数据增强显著改善了在水分系统 (WDSs) 中声泄漏检测的深度学习. 像IAAFT和掩盖这样的技术通过增加数据多样性和专注于全球特征来提高准确性.

关键词:
声学泄漏检测器 声学泄漏检测器 声学泄漏检测器卷积神经网络是一种卷积神经网络.数据增强数据增强时间频谱图时间频谱图水分系统的水分系统.

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