• Using RBF (Radial Basis Function) network as the soft-sensing model, its natural to introduce regularization learning algorithm.

    以径向基函数神经网络作为软测量模型,在软测量建模中引入正则化学习算法。

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  • The result of simulation experiment indicates that this soft-sensing model is precise enough for getting good effect, and meets practical engineering requirements.

    仿真试验结果表明,所建立的软测量模型测量精度高、效果好,能够满足工程实际的要求。

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  • Experimental results indicate that the crude copper composition in current copper convertor can be quickly and precisely determined by the proposed soft-sensing model.

    实验结果表明,该软测量模型能快速得出转炉当前炉次的粗铜成分数据,具有很高的精度。

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  • In this paper, the PLS method has been used to build a soft-sensing model for oxygen concentration in a catalytic reformer. The results show that the models are highly accurate.

    本文应用PLS方法建立了催化重整装置氧含量的软测量模型,结果表明该模型具有很高的精度。

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  • The principle of soft-sensing technique from advanced control system in industrial process was introduced. Soft-sensing model establishment, correction and application were discussed.

    本文介绍了工业过程先进控制系统中的软测量技术原理、模型建立、模型校正及软测量应用范围。

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  • The features of coke oven flue temperature are analyzed, and a highly accurate soft-sensing model based on error forecasting is established to measure the coke oven flue temperature on-line.

    针对焦炉火道温度在线检测的问题,在分析焦炉火道温度特性的基础上,建立了一种基于误差预测的高精度焦炉火道温度软测量模型。

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  • Setting up the soft-sensing models of oxygen content through mechanism analysis, and this soft-sensing model fit well with the practical oxygen content, which is illustrated by the simulations.

    主要通过机理分析建立了氧量软测量模型,仿真验证表明建立的氧量软测量模型能够较好的反映实际氧量的变化。

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  • This dynamic soft-sensing model proposed has been used in prediction of 4-cba content in PTA oxidation process; the result indicates that the model features fast operation speed and high accuracy.

    将提出的动态软测量模型应用于PT A氧化过程中4 - CBA含量的预测,结果表明,所建模型运算速度快、预测精度高。

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  • Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.

    本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。

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  • The proposed method has been applied to the fermentation process to develop a soft sensing model so as to estimate the products concentration on-line in penicillin fermentation.

    同时,将这一方法应用于生物发酵过程,建立了青霉素发酵过程中产物浓度的软测量模型,实现了青霉素浓度的在线预估。

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  • In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.

    在软测量建模过程中,基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。

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  • A soft sensing model for norm vacuum of condensor based on data fusion is proposed due to the enhancement of the accuracy and reliability.

    为了提高凝汽器真空应达值预测的准确性和可靠性,提出了基于数据融合的凝汽器真空应达值软测量方法。

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  • Soft-sensing techniques provide estimate of engineering variables which are difficult to measure by mathematical model.

    软测量技术是通过数学模型来估计工程上难以检测的变量值。

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  • The soft-sensing prediction model of product concentration of citric acid double-effect evaporator process is founded on the PCA-BP neural network.

    笔者采用PCA BP神经网络建立了蒸发过程出料液浓度软测量预测模型。

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  • On the basis of the model built for the soft-sensing for polyethylene quality indicators, the optimal control algorithm was deduced.

    根据反应机理确定聚乙烯质量指标的控制变量,利用软测量的建模结果推导质量控制的最优算法。

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  • On the basis of the model built for the soft-sensing for polyethylene quality indicators, the optimal control algorithm was deduced.

    根据反应机理确定聚乙烯质量指标的控制变量,利用软测量的建模结果推导质量控制的最优算法。

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