Author

Tingchao Yu

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Open access Sep 2026

Study on Pipe Diameter Identification Based on A-Scan Information on GPR Hyperbola

Accurate diameter identification of buried pipelines remains challenging in complex municipal environments because ground-penetrating radar (GPR) echoes are often weak and hyperbolic reflections are frequently incomplete. To address this problem, this study proposes a diameter identification method that integrates five...

Yong-Gang Shen, Chao Lin, Ting-Chao Yu et al. · Applied Sciences · 0 citations

Open access Jul 2026

Identification of ground-based acoustic signals for water supply pipeline leakage based on sliding windows and time-frequency sequence features

The detection of water pipe leaks using machine learning to identify ground-based acoustic signals has long been a hot topic in the field of water supply safety. However, achieving reliable leak detection in complex real scenarios remains a significant challenge. Based on an acoustic signal dataset collected from an...

Yong-Gang Shen, Hao-Li Wang, Jian-Xin Shen et al. · Journal of Hydroinformatics · 0 citations