Fault Diagnosis of Wind Turbines Based on Improved Dynamic Network Marker

Fault Diagnosis of Wind Turbines Based on Improved Dynamic Network Marker

With the rapid increase in the installed capacity of wind power in China, early warning and identification of defects in wind turbine units has become crucial for the healthy development of the wind power industry. This paper proposes a comprehensive fault warning method for the entire wind turbine...

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Bibliographic Details
Main Authors: Zesheng Pan, Ruiming Fang, Tingyu Wei, Rongyan Shang, Changqing Peng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Fault detection
fault diagnosis
network theory
predictive maintenance
renewable energy systems
supervisory control and data acquisition
Online Access:https://ieeexplore.ieee.org/document/10763496/
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