Smart equipment failure detection with machine learning applied to thermography inspection data in modern power systems
Author:
Affiliation:
1. Universidad del Rosario, School of Engineering, Science and Technology,Bogotá,Colombia
2. Université Paris-Saclay,CentraleSupélec, CNRS, Group of Electrical Engineering Paris (GeePs),Gif-sur-Yvette,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169137/10169142/10171065.pdf?arnumber=10171065
Reference18 articles.
1. Detecting Snow Layer on Solar Panels using Deep Learning
2. Sensor Placement Strategy for Locating Photovoltaic Array Failures
3. Fault detection of solar pv system using svm and thermal image processing;natarajan;Int Journal of Renewable Energy,2020
4. Effect of Faults in Solar Panels on Production Rate and Efficiency
5. Solar panel failure detection by infrared uas digital photogrammetry: a case study;cardinale-villalobos;Int Journal of Renewable Energy,2020
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