采用主成分分析法综合评价电站机组的运行状态

为解决电厂机组运行优化、状态监测与故障诊断中涉及到的机组运行状态的综合评价问题,提出用主成分分析(PCA)方法,建立了电厂机组的综合评价指标的思想.介绍了主成分分析法的原理,并应用该方法对某电厂机组的实际运行状态进行了综合评价.结果表明:该方法消除了主观因素对评价的影响,得到的综合评价指标可对汽轮机进行定量评价,也可为机组状态在线监测提供依据.

Principal Component Analysis for Comprehensive Evaluation on Information of Power Plant Unit

In order to comprehensive evaluate running state of generator unit,about operation optimizing,condition monitoring and fault diagnosis,an idea of using Principal Component Analysis(PCA) method to integrate the relevant generator unit information,is presented.Based on its basic principle and examples,it shows that PCA can provide the effective and impersonal evaluation for operation,management,state monitoring and diagnosis of generator unit.The result can be used to quantificationally evaluated turbine,and provide proofs for on line monitoring.