Railroad condition monitoring with distributed acoustic sensing: an investigation of deep learning methods for condition detection-Reference-Cited by-同舟云学术

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Railroad condition monitoring with distributed acoustic sensing: an investigation of deep learning methods for condition detection

Published:2024-03-15 Issue:01 Volume:18 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Rahman Md. Arifur¹,Kim Jongyeop²,Dababneh Fadwa³,Taheri Hossein¹

Affiliation:

1. Georgia Southern University, Laboratory for Advanced Non-Destructive Testing, In-Situ Monitoring, and Evaluation, Department of Manufacturing Engineering, Statesboro, Georgia, United States

2. Georgia Southern University, Information Technology Department, Statesboro, Georgia, United States

3. German Jordanian University, School of Applied Technical Sciences, Amman, Jordan

Publisher

SPIE-Intl Soc Optical Eng

Reference42 articles.

1. THE STAGES OF ECONOMIC GROWTH

2. The Role of the Railroads in United States Economic Growth

3. Importance of economics education for increasing mobility of railway specialists;Nikiforov,2014

Cited by 1 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. In situ process monitoring of multi-layer deposition in wire arc additive manufacturing (WAAM) process with acoustic data analysis and machine learning;The International Journal of Advanced Manufacturing Technology;2024-04-29

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