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。
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.
针对常规热平衡法煤粉浓度测量存在动态误差的问题，提出对一次测量量进行变系数动态补偿的软测量方法。
Aiming at dynamic error during measuring pulverized-coal concentration by general heat balance method, a dynamic compensation soft measurement method is introduced.
应用推荐