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电站电气设备故障预防与状态监测技术研究

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以安江水利水电枢纽为例,研究了水电站电气设备故障预防与状态监测技术.通过预防性维护、设备诊断、在线监测、数据采集与分析、状态评估与预警等手段,确保设备稳定运行.利用绝缘监测、热成像和振动分析评估设备状态,采用传感器实时获取数据,运用大数据和人工智能分析建立健康评估模型.故障预警系统及时发出警报,防止故障发生,保障电站安全稳定运行,提高设备可靠性和效率.
Research on Fault Prevention and Condition Monitoring Technology of Electrical Equipment in Power Station
Taking Anjiang Water Conservancy and Hydropower Project as an example,this paper studies the fault prevention and condition monitoring technology of electrical equipment in hydropower station.Through preventive maintenance,equipment diagnosis,online monitoring,data collection and analysis,state evaluation and early warning,etc.,the stable operation of equipment is ensured.This paper uses insulation monitoring,thermal imaging,and vibration analysis to evaluate equipment status.Real time data is obtained through sensors,and a health assessment model is established using big data and artificial intelligence analysis.The fault early warning system gives an alarm in time to prevent the occurrence of faults,ensure the safe and stable operation of the power station and improve the reliability and efficiency of the equipment.

hydropower stationelectrical equipmentfault preventioncondition monitoringpreventive maintenancefault early warning system

沈华雨

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广东水电二局集团有限公司,广东 广州 511340

水电站 电气设备 故障预防 状态监测 预防性维护 故障预警系统

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(z2)