Open AccessA data-driven approach for fault diagnosis of drivetrain system in a spar-type floating wind turbine based on the multi-point acceleration measurements
Author(s) -
Ali Dibaj,
Amir R. Nejad,
Zhen Gao
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2265/3/032096
Subject(s) - drivetrain , turbine , fault (geology) , condition monitoring , acceleration , spar , automotive engineering , engineering , point (geometry) , computer science , marine engineering , torque , mechanical engineering , mathematics , geology , physics , geometry , electrical engineering , classical mechanics , seismology , thermodynamics