水电机组运行设备的检测诊断

Key Points

• The aim is to analyze and diagnose operational equipment faults in hydroelectric power units as they age.
• Reviewed common fault types: mechanical, electrical, and hydraulic.
• Introduced diagnostic techniques including vibration analysis and oil analysis.
• Discussed temperature monitoring and electrical parameter monitoring.
• Highlighted artificial intelligence methods using neural networks and support vector machines.
• Identified prevalent fault types in aging equipment.
• Demonstrated that diagnostic techniques can help prevent major economic losses.
• Recommended methods improve stability and fault handling in hydroelectric operations.