Inspection equipment study for subway tunnel defects by grey-scale image processing-Reference-Cited by-同舟云学术

Inspection equipment study for subway tunnel defects by grey-scale image processing

Published:2017-04 Issue: Volume:32 Page:188-201
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Huang Hongwei,Sun Yan,Xue Yadong,Wang Fei

Funder

Fundamental Research Funds

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference30 articles.

1. Urban rail transit annual statistical analysis report of 2014;Metro;Urban Rapid Rail Transit.,2015

2. Statistic and analysis of urban rail transit lines in 2014 China—express delivery of annual report on urban rail transit Ⅱ;Zhong;Urban Mass Transit.,2015

3. Mechanism of soft ground tunnel defect generation and functional degradation;Shi;Tunn. Undergr. Space Technol.,2015

4. Analysis on tunnel accident on line 1 of Saint Petersburg Metro;Xiang-dong;Tunnel Constr.,2008

5. Analysis on the current status of metro operating tunnel damage in soft ground and its causes;Ye;Chinese J. Undergr. Space Eng.,2007

Cited by 109 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visual detection method of tunnel water leakage diseases based on feature enhancement learning;Tunnelling and Underground Space Technology;2024-11

2. Crack analysis of tall concrete wind towers using an ad-hoc deep multiscale encoder–decoder with depth separable convolutions under severely imbalanced data;Structural Health Monitoring;2024-09-10

3. Advancing tunnel equipment maintenance through data-driven predictive strategies in underground infrastructure;Computers and Geotechnics;2024-09

4. ACAT-transformer: Adaptive classifier with attention-wise transformation for few-sample surface defect recognition;Advanced Engineering Informatics;2024-08

5. WLR-Net: An Improved YOLO-V7 With Edge Constraints and Attention Mechanism for Water Leakage Recognition in the Tunnel;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08