首页|主成分分析法在水电机组运行监测分析中的适用性探索

主成分分析法在水电机组运行监测分析中的适用性探索

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在MATLAB中建立基于主成分分析法的系统异常监测模型,利用某水电站厂级信息系统中的历史数据,针对一台水电机组的常规运行状态展开分析。结果表明:在限定工况和测点的条件下,主成分分析法对于水电机组的运行状态监测分析具有一定的适用性。同时在参数适当的前提下,可以发挥一定的预警功能。为水电站在不增加监测硬件的条件下提高软件分析能力提供了一种思路。
Explore the applicability of principal component analysis in monitoring a hydroelectric generating unit
A model for monitoring system anomalies based on principal component analysis was established by MATLAB,and the historical data in plant level information system of hydropower station were used to analyze the routine operation state of the hydroelectric generating unit.The principal component analysis is proved to be applicable for monitoring the operation state of the hydroelectric generating unit under limited operation conditions and by using the limited measurement points.Parameter analysis could be used to have effect of early warning under appropriate parameters,which provides a new way to improve the capability of software analysis without adding monitoring hardware in hydropower stations.

hydropower stationcondition monitoringprincipal component analysis

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浙江省新能源投资集团股份有限公司,浙江 杭州 310020

水电站 状态监测 主成分分析

2024

能源工程
浙江省能源研究所 浙江省能源研究会

能源工程

影响因子:0.314
ISSN:1004-3950
年,卷(期):2024.44(1)
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