摘要
电磁振动状态反映水电机组运行健康程度,开展基于开机过渡过程的水电机组电磁振动状态监测评估模型对确保机组安全稳定运行具有重要意义。基于主成分分析和聚类分析理论,提出一种基于开机过渡过程的水电机组电磁振动特征提取和状态评估方法。首先以电磁振动频率特征及振动与励磁电流相关性为两类特征,构建典型频率幅值及相关性特征两种电磁振动状态样本;其次,引入主成分分析进行降维,计算主元统计量作为指标反映电磁振动状态,构建水电机组开机过渡过程的电磁振动状态评估模型。该模型通过分析监测样本主元统计量是否超过健康阈值以及主成分子空间经k-means聚类是否存在明显区别的簇来评估机组电磁振动状态。采用某水电站机组大修后实测数据进行验证分析,表明该方法可以有效跟踪监测评估机组电磁振动状态变化趋势,发现机组早期潜在的安全隐患,保障机组安全稳定运行。
The electromagnetic vibration state reflects the operational health of hydropower units.Developing a monitoring and evaluation model for the electromagnetic vibration state of hydropower units based on the startup transition process is crucial for ensuring the safe and stable operation of the units.This paper proposes a method for extracting electromagnetic vibration features and evaluating the state of hydropower units during the startup transition process,based on principal component analysis(PCA)and cluster analysis theory.Firstly,it constructs two types of electromagnetic vibration state samples by extracting two categories of features:electromagnetic vibration frequency characteristics and the correlation between vibration amplitude and excitation current,which are typical frequency amplitude characteristics and correlation characteristics.Secondly,PCA is introduced for dimensionality reduction,and the principal component statistics are calculated as indicators to reflect the electromagnetic vibration state,thereby constructing the evaluation model for the electromagnetic vibration state during the startup transition process of hydropower units.This model assesses the unit′s electromagnetic vibration state by analyzing whether the principal component statistics of the monitoring samples exceed the health threshold and whether there are significantly distinct clusters in the principal component subspace through k-means clustering.The method is validated using measured data from a hydropower unit after an overhaul,demonstrating its effectiveness in tracking and evaluating the trend of changes in the unit′s electromagnetic vibration state,identifying potential early safety hazards,and ensuring the safe and stable operation of the unit.
作者
刘志辉
刘德新
姬升阳
鹿明明
胡文庆
肖志怀
王世翾
LIU Zhi-hui;LIU De-xin;JI Sheng-yang;LU Ming-ming;HU Wen-qing;XIAO Zhi-huai;WANG Shi-xuan(Xiluodu Hydropower Plant,Yongshan 657300,Yunnan Province,China;School of Power and Machinery,Wuhan University,Wuhan 430072,Hubei Province,China)
出处
《中国农村水利水电》
北大核心
2025年第7期127-134,共8页
China Rural Water and Hydropower
基金
长江电力股份有限公司科研项目(4123020066)。
关键词
水电机组
电磁振动
特征提取
状态评估
hydropower unit
electromagnetic vibration
feature extraction
state evaluation
