基于统计回归的质量推断方法
STATISTICAL-REGRESSION-BASED QUALITY INFERENCE METHODS
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摘要: 统计回归是软测量建模的一个重要手段.本文在回顾了典型统计回归方法的基础上,采用部分最小二乘(PLS)建立高定量造纸过程的水分软测量模型.鉴于软测量模型的扰动拟合本质,提出了基于扰动估计的软测量建模策略.水分软测量模型的建立,验证了该建模策略的有效性.Abstract: Statistical regression methods are very important in soft sensor techniques. This paper reviewed statistical regression methods and establishes soft sensor model of moisture for high-ratied paper making processes using partial least square (PLS) method. Considering the disturbance approximation essence of moisture soft-sensor, we proposed a soft sensor modeling approach based on disturbance estimation. A moisture soft sensor model proves the validity of this approach.