摘要
详细阐述了一种基于多变量状态估计(Multivariate State Estimation Techniques,MSET)的电站锅炉空气预热器状态预测的方法。在该方法中,首先建立正常工况下各监测参数之间的关联模型;然后根据系统当前观测特征向量与各建模样本特征向量之间的相似性程度,使用MSET对当前观测向量进行估计,得到与观测向量相对应的估计残差。最终模拟计算结果表明,MSET可有效并精确的对空气预热器的运行状态进行预测,实现对空气预热器劣化趋势进行早期预测,具有很高的实用价值。
A novel approach for air preheater state prediction of power station boiler is expounded detailedly based on multivariate state estimation techniques （MSET）. In the approach, correlation model among monitoring parameters in normal work condition is constructed firstly. Then, according to the similarities between the current observed feature vector and each history feature vector contained in process memory matrix , estimation of the current feature vector is calculated by using MSET Results demonstrated that MSET can effectively and accurately predict the operation state of air preheater, and realize forecast the degradation trend of air preheater, this approach has high Practical value
出处
《中国科技信息》
2012年第12期161-162,共2页
China Science and Technology Information
