Open AccessCrack Detection and Localization on Wind Turbine Blade Using Machine Learning Algorithms: A Data Mining Approach
Author(s) -
A. Joshuva,
V. Sugumaran
Publication year - 2019
Publication title -
structural durability and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.271
H-Index - 12
eISSN - 1930-2991
pISSN - 1930-2983
DOI - 10.32604/sdhm.2019.00287
Subject(s) - turbine blade , aerodynamics , turbine , blade (archaeology) , vibration , structural engineering , engineering , accelerometer , algorithm , computer science , marine engineering , acoustics , mechanical engineering , aerospace engineering , physics , operating system
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