Experimental study of underground pipeline acoustic detection method based on big data deep learning
|更新时间:2026-03-21
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Experimental study of underground pipeline acoustic detection method based on big data deep learning
Journal of Civil and Environmental EngineeringPages: 1-10(2026)
作者机构:
1.军事科学院国防工程研究院,北京 100850
2.联勤保障部队工程大学 高原山地环境下设施 破坏机制与防护重庆市重点实验室,重庆 401311
作者简介:
SUN Haijun (1980- ), senior engineer, main research interests: design and research of oil storage and transportation, E-mail: sunhaijun1980@126.com.
LIU Yuanxue (corresponding author), PhD, professor, E-mail: lyuanxue@vip.sina.com.
基金信息:
The Academician Special Project of Natural Science Foundation of Chongqing(CSTB2023YSZX-JCX0004);The Chongqing Talent Plan Project(cstc2024ycjh-bgzxm0028)
SUN Haijun,LIU Yuanxue,GONG Hongwei,et al.Experimental study of underground pipeline acoustic detection method based on big data deep learning[J].Journal of Civil and Environmental Engineering,
SUN Haijun,LIU Yuanxue,GONG Hongwei,et al.Experimental study of underground pipeline acoustic detection method based on big data deep learning[J].Journal of Civil and Environmental Engineering,DOI:10.11835/j.issn.2096-6717.2026.020.
Experimental study of underground pipeline acoustic detection method based on big data deep learning