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首页> 外文会议>IEEE International Conference on Information and Automation >Temperature Prediction of Combustion Layers for 660MW Ultra Supercritical Unit Through the VIP-SR
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Temperature Prediction of Combustion Layers for 660MW Ultra Supercritical Unit Through the VIP-SR

机译：通过VIP-SR预测660MW超超临界机组燃烧层温度

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摘要

The temperature of furnace is the key to the safety of boiler and energy conservation. In this paper, the prediction modeling of temperature of different combustion layers (bottom, middle and upper) are proposed based on the variable importance in the projection(VIP) of partial least square (PLS) combined with stepwise regression (SR) for the 660MW ultra supercritical unit. The temperature of different combustion layers are measured through the infrared temperature measurement devices. The variables are selected by using the variable importance in the projection, which are important factors of affecting the temperature. Combined with stepwise regression method, the temperature prediction models of three layers are established in the low load operation of boiler. At the same time, temperature modeling using support vector machines (SVM) is compared with VIP-SR method. According to the operation data of power plant, the simulation results have shown the effectiveness of the proposed method.
机译：炉温是保证锅炉安全和节能的关键。基于偏最小二乘（PLS）的投影（VIP）和逐步回归（SR）结合660MW的重要性，提出了不同燃烧层（底部，中部和上部）温度的预测模型超超临界单元。通过红外线温度测量装置测量不同燃烧层的温度。通过使用投影中的变量重要性来选择变量，变量是影响温度的重要因素。结合逐步回归方法，建立了锅炉低负荷运行过程中三层温度预测模型。同时，将使用支持向量机（SVM）进行的温度建模与VIP-SR方法进行了比较。根据电厂的运行数据，仿真结果表明了该方法的有效性。

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