A Multiple Species Railway Defects Detection Method Based on Sample Generation-Reference-Cited by-同舟云学术

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A Multiple Species Railway Defects Detection Method Based on Sample Generation

Published:2024 Issue: Volume:73 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Jian Zehua¹^ORCID,He Sen²^ORCID,Liu Shaoli¹^ORCID,Liu Jianhua³^ORCID,Fang Yue⁴^ORCID

Affiliation:

1. Digital Manufacturing Laboratory, Beijing Institute of Technology, Beijing, China

2. Chengdu Aircraft Design and Research Institute, Chengdu, China

3. Tangshan Research Institute, Beijing Institute of Technology, Tangshan, China

4. Academy of Railway Sciences Corporation, Beijing, China

Funder

National Defense Basic Scientific Research Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10452271.pdf?arnumber=10452271

Reference39 articles.

1. Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion

2. Fault detection method for railway wheel flat using an adaptive multiscale morphological filter

3. Fault Detection of Railway Point Machine Using Diagnostic Models

4. Efficient railway tracks detection and turnouts recognition method using HOG features

5. Underexposed Photo Enhancement Using Deep Illumination Estimation

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