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    • 1. 发明申请
    • PARTIAL LEAST SQUARES BASED PAPER CURL AND TWIST MODELING, PREDICTION AND CONTROL
    • 基于部分最小二乘法的纸张和纸张建模,预测和控制
    • WO2004111332A3
    • 2005-06-02
    • PCT/US2004016537
    • 2004-05-26
    • ABB LTDAMIRTHALINGAM RAJA
    • AMIRTHALINGAM RAJA
    • D21G9/00G05B13/04G05B23/02
    • D21G9/0036G05B13/048
    • A method is described for using the partial least squares (PLS) technique for modeling, predicting and controlling curl and twist in a paper machine. The prediction variables to the model are selected quality control system measurements and paper machine variables. The selection is based on incremental error analysis of individual prediction variables and can be improved using score contribution analysis. The predicted variables to the model are the curl and twist measurements which are determined from the samples taken at the end of the reel. The PLS model is identified and used in an on-line framework and the model is continuously updated with new data as required. A control strategy to use the PLS model for controlling curl and twist is included. There is also described a method which uses as inputs to the model only the measurements from a fiber orientation sensor and the curl and twist measurements.
    • 描述了使用偏最小二乘法(PLS)技术来建模,预测和控制造纸机中的卷曲和扭曲的方法。 选择质量控制系统测量和造纸机变量的模型预测变量。 选择是基于各个预测变量的增量误差分析,并可以使用分数贡献分析进行改进。 模型的预测变量是从卷轴末端采集的样品确定的卷曲和扭曲测量。 PLS模型在在线框架中被识别和使用,并且根据需要使用新的数据不断更新模型。 包括使用PLS模型控制卷曲和扭曲的控制策略。 还描述了一种方法,其仅将模型用作来自纤维取向传感器的测量值以及卷曲和扭曲测量值。