Multi-Fault Rapid Diagnosis for Wind Turbine Gearbox Using Sparse Bayesian Extreme Learning Machine

Multi-Fault Rapid Diagnosis for Wind Turbine Gearbox Using Sparse Bayesian Extreme Learning Machine

In order to reduce operation and maintenance costs, reliability, and quick response capability of multi-fault intelligent diagnosis for the wind turbine system are becoming more important. This paper proposes a rapid data-driven fault diagnostic method, which integrates data pre-processing and machi...

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Bibliographic Details
Main Authors: Jian-Hua Zhong, Jun Zhang, Jiejunyi Liang, Haiqing Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wind turbine
gearbox
multi-fault diagnosis
Hilbert-Huang transform
pairwise-coupled
sparse Bayesian extreme learning machine
Online Access:https://ieeexplore.ieee.org/document/8573761/

Internet

https://ieeexplore.ieee.org/document/8573761/

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