Damage detection of wind turbine blades via physics-informed neural networks and microphone array

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2025.136859
Affiliations:
2
Authors:
3
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Institutions Authors Share
University of Shanghai for Science and Technology (USST), China
2.000000
 0.67
SPIC Energy Science and Technology Research Institute, China
1.000000
 0.33
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