摘要
随着水电能源在电力系统中的重要性日益凸显，水电站机组的安全稳定运行成为关键。本文提出了一种基于先进传感器技术与智能算法的水电站机组状态监测与故障诊断系统。通过构建全面的监测网络，实时采集机组运行数据，并运用机器学习算法对数据进行分析，实现故障的早期预警与精准诊断。该系统有效提高了机组运行效率与可靠性，降低了维护成本，为水电站智能化运维提供了有力支持。
关键词： 水电站机组；状态监测；故障诊断；智能算法；传感器网络
Abstract
With the increasing importance of hydropower energy in the power system, the safe and stable operation of hydropower station units has become the key. This paper presents a condition monitoring and fault diagnosis system based on advanced sensor technology and intelligent algorithm. By building a comprehensive monitoring network, collecting the unit operation data in real time, and using the machine learning algorithm to analyze the data, the early warning and accurate diagnosis of faults are realized. The system effectively improves the operation efficiency and reliability of the unit, reduces the maintenance cost, and provides strong support for the intelligent operation and maintenance of the hydropower station.
Key words： Hydropower station unit; Condition monitoring; Fault diagnosis; Intelligent algorithm; Sensor network
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