STATISTICAL-REGRESSION-BASED QUALITY INFERENCE METHODS
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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.
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