Design of Wind Turbine Fault Detection System Based on Vibration Signal Processing
With the increasing importance of wind power generation in the global energy system,fault detection and diagnosis technology for wind turbines has become particularly important.A detection system for common faults in wind turbines has been designed based on vibration signal processing methods,aiming to improve equipment reliability and reduce operation and maintenance costs.The system architecture includes modules such as data acquisition,signal preprocessing,feature extraction and selection,fault diagnosis and warning,etc.The efficiency and accuracy of the system have been verified through experiments.The results indicate that the system can quickly and accurately identify faults of different degrees,providing important support for the health management of wind power equipment.
wind turbinefault detectionvibration signal processing
NETL
NSTL
万方数据
