Damage detection in power transmission towers using machine learning algorithms
Author:
Publisher
Elsevier BV
Subject
Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference53 articles.
1. Dynamic reduction-based structural damage detection of transmission tower utilizing ambient vibration data;Yin;Eng Struct,2009
2. Vibration Anatomy and Damage Detection in Power Transmission Towers with Limited Sensors;Karami-Mohammadi;Sensors,2020
3. Failure analysis of transmission towers;Albermani;Eng Fail Anal,2009
4. Structural health monitoring using extremely compressed data through deep learning;Azimi;Comput-Aided Civ Infrastruct Eng,2020
5. Modal identification of bridge systems using state-space methods;Arici;Struct Control Health Monit,2005
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