A 2DCNN-RF Model for Offshore Wind Turbine High-Speed Bearing-Fault Diagnosis under Noisy Environment

The vibration signals for offshore wind-turbine high-speed bearings are often contaminated with noises due to complex environmental and structural loads, which increase the difficulty of fault detection and diagnosis. In view of this problem, we propose a fault-diagnosis strategy with good noise imm...

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Main Authors: Shujie Yang, Peikun Yang, Hao Yu, Jing Bai, Wuwei Feng, Yuxiang Su, Yulin Si
Formáid: Artigo
Teanga:Inglês
Foilsithe: MDPI AG 2022-05-01
Sraith:Energies
Ábhair:
offshore wind turbine
high-speed bearing
fault diagnosis
CNN
RF
noise immunity
Rochtain Ar Líne:https://www.mdpi.com/1996-1073/15/9/3340
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