Gap Detection of Switch Machines in Complex Environment Based on Object Detection and Image Processing-Reference-Cited by-同舟云学术

Gap Detection of Switch Machines in Complex Environment Based on Object Detection and Image Processing

Published:2020-08 Issue:8 Volume:146 Page:04020083
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Tao Ting¹^ORCID,Dong Decun²,Huang Shize³,Chen Wei⁴

Affiliation:

1. Master’s Student, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji Univ., 4800 Caoan Rd., Shanghai 201804, PR China. ORCID: .

2. Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., 4800 Caoan Rd., Shanghai 201804, PR China.

3. Associate Professor, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji Univ., 4800 Caoan Rd., Shanghai 201804, PR China (corresponding author).

4. Master’s Student, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., 4800 Caoan Rd., Shanghai 201804, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000406

Reference17 articles.

1. Guo Z. J. H. Ye W. Dong Y. W. Yan and X. Yan. 2017. “A hybrid feature extraction method for fault detection of turnouts.” In Proc. 2017 Chinese Automation Congress 540–545. New York: IEEE.

2. Two-stage turnout fault diagnosis based on similarity function and fuzzy c-means;Huang S. Z.;Adv. Mech. Eng.,2018

3. Turnout fault diagnosis through dynamic time warping and signal normalization;Huang S. Z.;J. Adv. Transp.,2017

4. Automatic detection algorithm of switch machine gap based on canny operator;Li C.;J. China Railway Soc.,2018

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