DING Jing-guo
,
QU Li-li
,
HU Xian-lei
,
LIU Xiang-hua
钢铁研究学报(英文版)
There is a certain extent of measuring error for each pyrometer in plate production process, which has a great impact on process control system. A soft sensor technique is used to calculate the confidence interval of measuring temperature data from pyrometers and an inference estimator is designed by partial least square method, then the pyrometer with highest confidence is considered as the reference one, with which inference estimation for measured data on-line of other pyrometers is started and the measuring error is conformed. From actual application it can be found that this method can improve the measuring accuracy by 3%-5%, and has high field application value.
关键词:
plate mill
,
soft sensor
,
temperature inference
,
partial least square
