风力发电系统机电故障诊断与电气健康管理技术应用进展

Key Points

• To explore advancements in electromechanical fault diagnosis and health management in wind power systems.
• Overview of wind power system components and principles
• Analysis of common mechanical and electrical fault characteristics
• Discussion of diagnosis techniques based on vibration, temperature, oil, and electrical parameter monitoring
• Examination of health management technologies like condition monitoring and predictive maintenance
• Integration of multi-source data and intelligent algorithms enhances fault prediction accuracy
• Improved health management efficiency leads to better reliability of wind power systems
• Supports economic optimization in wind energy production