CAJ | 학술논문

为了解决静态软测量建模预测精度低和鲁棒性差等问题，提出了一种基于多准则和高斯过程回归的动态软测量建模方法。该方法综合考虑多种模型定阶准则，提出了高斯过程回归动态软测量模型定阶策略，为模型阶数确定提供了依据，并将所提动态软测量模型应用于红霉素发酵过程中生物量浓度的估计。研究结果表明，基于高斯过程回归的动态软测量建模方法可以实现对生物量浓度的高精度预测，且预测结果具有较小的置信度区间。
위료해결정태연측량건모예측정도저화로봉성차등문제，제출료일충기우다준칙화고사과정회귀적동태연측량건모방법。해방법종합고필다충모형정계준칙，제출료고사과정회귀동태연측량모형정계책략，위모형계수학정제공료의거，병장소제동태연측량모형응용우홍매소발효과정중생물량농도적고계。연구결과표명，기우고사과정회귀적동태연측량건모방법가이실현대생물량농도적고정도예측，차예측결과구유교소적치신도구간。
A dynamic soft sensor modeling method based on multi-criterion method and Gaussian process regression is presented to overcome the problems of low prediction accuracy and poor robust-ness in static soft sensors.The multi-criterion method,as a theoretical basis of determing model or-der,takes into account several traditional criterions.The application of the proposed soft sensor to an erythromycin fermentation process is presented.Results show that the proposed dynamic soft sensor has high prediction accuracy and small predicted confidence intervals.