Qualifying data on railroad track vibrations: a hybrid data preprocessing flow of statistical and machine learning approaches
Author:
Affiliation:
1. Department of Civil Engineering, College of Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, Republic of China (ROC)
Funder
the Ministry of Science and Technology, Taiwan
Publisher
Informa UK Limited
Subject
General Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/02533839.2023.2262718
Reference42 articles.
1. Aszkler C. 2005. “Chapter 5: Acceleration Shock and Vibration Sensors.” In (Jon S. Wilson Eds.) Sensor Technology Handbook 137-159 Burlington: Newnes. ISBN: 978-0-7506-7729-5
2. Signal Processing and Integrated Circuits
3. Condition Monitoring of NFR Trains With Measurements From a Single Wayside 3D Vibration Sensor
4. Cai, G., L. Jia, M. Zhou, J. Sun, K. Zhang, S. Feng, and M. Zheng. 2015. “System Architecture of a Train Sensor Network for Ubiquitous Safety Monitoring (D).” In 27th International Conference on Software Engineering and Knowledge Engineering, 6-8 July 2015: 736–738. USA: Knowledge Systems Institute Graduate School.
5. Vibration measurement in a metro depot with trains running in the top story
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