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基于偏最小二乘法的锅炉飞灰含碳质量分数预测模型研究
引用本文:葛彦鹏,崔凝,董丽丽,杨琛. 基于偏最小二乘法的锅炉飞灰含碳质量分数预测模型研究[J]. 发电设备, 2013, 27(2): 78-81
作者姓名:葛彦鹏  崔凝  董丽丽  杨琛
作者单位:1. 华北电力大学能源动力与机械工程学院,保定,071003
2. 天津大学机械学院,天津,300072
摘    要:针对目前锅炉飞灰含碳质量分数测量方法的滞后性及误差大等问题,根据某电厂大量运行(样本)数据,提出基于偏最小二乘法(PLS)的飞灰含碳质量分数的数学预测模型,并对模型的回归效果进行了分析和检验。研究结果表明:该方法能够克服数据间的多重相关性,具有预测速度快、计算精度高的特点。

关 键 词:锅炉  飞灰含碳质量分数  偏最小二乘法  预测模型

Study on PLS-based Prediction Model for Mass fraction of Carbon Content in Boiler Fly Ash
Ge Yanpeng , Cui Ning , Dong Lili , Yang Chen. Study on PLS-based Prediction Model for Mass fraction of Carbon Content in Boiler Fly Ash[J]. Power Equipment, 2013, 27(2): 78-81
Authors:Ge Yanpeng    Cui Ning    Dong Lili    Yang Chen
Abstract:Aiming at the problems such as lagging, large error, and so on of the existing measurement method for mass fraction of carbon content in boiler fly ash, a Partial Least Squares(PLS)-based prediction model was put forward, based on which analysis and testing on the regression effect of the model have been made upon a large amount of operating(sam ple)data of a power plant.Results show that the method can overcome the multiple correlations among data and is characterized by high prediction speed and calculation accuracy.
Keywords:boiler   mass fraction of carbon content in fly ash  P LS   prediction model
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