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轧钢加热炉钢坯加热质量的检测研
引用本文:梁军. 轧钢加热炉钢坯加热质量的检测研[J]. 传感技术学报, 2003, 16(1): 59-64
作者姓名:梁军
作者单位:浙江大学控制科学与工程学系系统工程研究所,工业控制技术国家重点实验室,310027,杭州,玉泉
基金项目:国家 8 6 3计划的资助 (86 3- 5 11- 92 0 - 0 11和 2 0 0 1AA 4 112 30 )
摘    要:轧钢加热炉中钢坯温度的检测是一类典型的工业过程质量参数难测量问题。本文首先分析了该问题的产生原因及对生产过程的不良影响,然后运用多元统计投影原理建立了钢坯温度变量和过程变量之间的主元回归软测量模型和偏最小二乘软测量模型,最后基于工业拖偶试验数据对两类模型的参数矩阵进行了求取。根据工业实际生产数据进行的模型校验和误差分析表明,模型预测误差满足工业应用的精度要求,且较作者前期研究的结果更精确。全文分为两部分,这是第一部分。

关 键 词:轧钢加热炉 质量检测 多元统计投影 软测量 主元分析 主元回归 偏最小二乘
文章编号:1004-1699(2003)01-0059-06
修稿时间:2002-09-10

M easuremen ts of Qual ity Var iables for an Industr ial Roll ingM ill Reheating Furnace
LIANG Jun Institute of System Engineering. M easuremen ts of Qual ity Var iables for an Industr ial Roll ingM ill Reheating Furnace[J]. Journal of Transduction Technology, 2003, 16(1): 59-64
Authors:LIANG Jun Institute of System Engineering
Affiliation:LIANG Jun Institute of System Engineering,Department of Control Science and Engineering National Lab,of Industrial Control Tech.Zhejiang University Hangzhou,310027,P. R. China
Abstract:The on line slab temperature measurement for an industrial rolling mill reheating furnace is one class of typical hard measuring problem in industrial process. After discussing the difficulty of on line measuring for slab temperature and the influence on process operation, this paper developed two slab temperature soft sensing models, the principal component regression model and partial least square model, based upon multivariable statistical projection technique. As a key step of this work, model verification is presented by using real operating data gathered from industrial experiments. Research results show that the models' precision is good enough to satisfy the engineering demands.This paper is divided into two parts, and this is the first part.
Keywords:Rolling mill reheating furnace  quality measurement  multivariate statistical projection method  soft sensor  principal component analysis (PCA)  principal component regression (PCR)  partial least square (PLS)
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