The use of soft-sensors in industry is becoming more popular, as they allow for the prediction of critical product qualities from process variables in real-time. The requirement for this that all process variables are dynamically synchronized is often not met. Although different methods for dynamically synchronizing process variables are reported, no critical comparison of these methods is available. In this study we show that the choice in synchronization method significantly influences a soft-sensor's accuracy. From the methods studied, median filtering using a moving window with a width of 168 minutes placed before the target times led to the highest sensor accuracy for the production plant studied, a method not reported in literature. This optimal width is remarkable, as the total processing time of the plant is 30 minutes. This suggests that changes in the physical state of the plant can affect the production quality than one might expect.

软传感器在工业中的使用正变得越来越普遍，因为它们可以根据过程变量实时预测关键产品的质量。通常不满足所有过程变量都动态同步的要求。尽管报告了用于动态同步过程变量的不同方法，但是这些方法没有关键的比较。在这项研究中，我们表明同步方法的选择会显着影响软传感器的精度。从研究的方法来看，在目标时间之前使用宽度为168分钟的移动窗口进行中值滤波会导致所研究的生产工厂的传感器精度最高，该方法尚未在文献中报道。由于工厂的总处理时间为30分钟，因此该最佳宽度非常显着。