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水力发电设备的状态监测与故障诊断技术

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水力发电设备的状态监测与故障诊断技术是保障水力发电系统稳定运行和延长设备使用寿命的重要手段.传统的监测方法依赖定期检查和人工巡检,存在效率低、漏检风险高的问题,无法满足现代水电站复杂的运行需求.现代水电站需要应用实时监测系统,通过高精度传感器和智能算法,获取和分析设备的运行状态和健康状况,实现快速故障诊断和预测性维护.传感器网络、数据处理系统、振动分析、油液分析、温度监测等关键技术在状态监测中发挥着重要作用.通过这些技术的综合应用,水电站能够显著提高设备运行效率和安全性,减少停机时间和维护成本,促进电站管理的智能化和精细化.
State Monitoring and Fault Diagnosis Technology for Hydropower Equipment
State monitoring and fault diagnosis technology for hydropower equipment is a crucial means to ensure the stable operation of power generation systems and extend the service life of equipment.Traditional monitoring methods rely on periodic inspections and manual patrols,which are inefficient and have a high risk of missed detections,unable to meet the complex operational demands of modern hydropower stations.Modern hydropower stations require real-time monitoring systems that,through high-precision sensors and intelligent algorithms,can obtain and analyze the operational status and health conditions of equipment,enabling rapid fault diagnosis and predictive maintenance.Sensor networks,highly intelligent data processing systems,and key technologies such as vibration analysis,oil analysis,and temperature monitoring play a vital role in state monitoring.The comprehensive application of these technologies allows hydropower stations to significantly improve equipment operational efficiency and safety,reduce downtime and maintenance costs,and promote intelligent and refined station management.

hydropower equipmentstate monitoringfault diagnosissensor technologydata analysis

李旭红、贺臻、王新永

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华能澜沧江水电股份有限公司小湾水电厂,云南 大理 671000

水力发电设备 状态监测 故障诊断 传感技术 数据分析

2024

电力系统装备
《机电商报》社

电力系统装备

影响因子:0.008
ISSN:1671-8992
年,卷(期):2024.(11)