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文摘
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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 |
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来源
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Journal of Iron and Steel Research
, International,2011,18(3):24-27 【核心库】
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DOI
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10.1016/s1006-706x(11)60032-0
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关键词
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plate mill
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soft sensor
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temperature inference
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partial least square
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地址
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1.
Northeastern University, State Key Laboratory of Rolling and Automation, Liaoning, Shenyang, 110004
2.
Shenyang Blower Ventilation Co Ltd, Liaoning, Shenyang, 110041
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1006-706X |
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学科
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冶金工业 |
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基金
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国家自然科学基金
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文献收藏号
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CSCD:4381693
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