Research on application of deep convolutional network in high-speed railway track inspection based on distributed fiber acoustic sensing-Reference-Cited by-同舟云学术

Research on application of deep convolutional network in high-speed railway track inspection based on distributed fiber acoustic sensing

Published:2021-08 Issue: Volume:492 Page:126981
ISSN:0030-4018
Container-title:Optics Communications
language:en
Short-container-title:Optics Communications

Author:

Wang Shulun^ORCID,Liu Feng,Liu Bin^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference26 articles.

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2. Development of ballast-less track detection technology for high speed railway;Zhang;Henan Sci. Technol.,2010

3. An improved method for static detection of unballasted track;Zheng;Eng. Surv. Map.,2017

4. Track maintenance cycle prediction of high speed railway based on track quality status;Ren;China High-Tech Enterp.,2015

5. Methods for aligning near-continuous railway track inspection data;Palese,2020

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