A Detection Method for Bridge Cables Based on Intelligent Image Recognition and Magnetic-Memory Technology-Reference-Cited by-同舟云学术

A Detection Method for Bridge Cables Based on Intelligent Image Recognition and Magnetic-Memory Technology

Published:2022-12 Issue:6 Volume:36 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Meng Qingling¹,Zhang Yun²,Wang Hailiang³,Huang Xin⁴,Wang Zhenyu⁵

Affiliation:

1. Lecturer, College of Civil Engineering, Tianjin Chengjian Univ., No. 26 Jinjing Rd., Xiqing District, Tianjin 300384, China.

2. Master’s Candidate, College of Civil Engineering, Tianjin Chengjian Univ., No. 26 Jinjing Rd., Xiqing District, Tianjin 300384, China.

3. Professor, College of Civil Engineering, Tianjin Chengjian Univ., No. 26 Jinjing Rd., Xiqing District, Tianjin 300384, China (corresponding author).

4. Engineer, China Railway 18th Bureau Group Co., Ltd., Da-Gu-Nan Rd., Jinnan District, Tianjin 300000, China.

5. Engineer, Tianjin Transportation Research Institutions, Dongli Development Zone, Tianjin 300384, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001773

Reference42 articles.

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4. Ding N. Z. Zheng J. Song Z. Sun T. L. Lam and H. Qian. 2020. “CCRobot-III: A split-type wire-driven cable climbing robot for cable-stayed bridge inspection.” In Proc. 2020 IEEE Int. Conf. on Robotics and Automation (ICRA) 9308–9314. New York: IEEE. https://doi.org/10.1109/ICRA40945.2020.9196772.

5. A peak detection algorithm adopting magnetic sensor signal for rail spike location in tamping machine

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