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Grey box modelling for temperature estimation
Örebro University, Department of Technology.
2002 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Örebro: Örebro universitetsbibliotek , 2002. , p. 23
Series
Örebro Studies in Technology, ISSN 1650-8580 ; 3
National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
URN: urn:nbn:se:oru:diva-4277ISBN: 91-7668-306-0 (print)OAI: oai:DiVA.org:oru-4277DiVA, id: diva2:138576
Available from: 2007-07-08 Created: 2007-07-08 Last updated: 2017-10-18Bibliographically approved
List of papers
1. Modelling and identification of an air cooling process
Open this publication in new window or tab >>Modelling and identification of an air cooling process
1997 (English)In: Proceedings of the 1997 IEEE international conference on control applications, New York: IEEE , 1997, p. 383-385Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents modelling and identification of an air cooling process in a steel strip line. The model is derived from the heat balance equation. The distributed parameter system is approximated with a discrete non-linear lumped parameter model. The model accuracy is evaluated with actual operation data and the unknown parameters of the model are estimated off-line. The number of unknown parameters is first reduced and then extended until an appropriate model is achieved. The model is intended to be used in strip temperature control, fault detection and as a basis for a decision on future rebuilding of the system.

Place, publisher, year, edition, pages
New York: IEEE, 1997
Keywords
cooling process, modelling, grey box identification, steel industry
National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-16079 (URN)A1997BJ81D00071 ()
Available from: 2011-06-22 Created: 2011-06-22 Last updated: 2017-10-17Bibliographically approved
2. Estimation of a non-measurable variable by using Grey box modelling
Open this publication in new window or tab >>Estimation of a non-measurable variable by using Grey box modelling
2001 (English)In: Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference, 2001. IMTC 2001: volume 2, 2001, p. 778-783Conference paper, Published paper (Other academic)
Abstract [en]

In the steel industry, there are many processes that include measuring and control of temperatures. With higher demand on quality, increased production and effective energy consumption the use of non-contact temperature measuring techniques has increased. After the cooling section in a continuous annealing-pickling line, the strip temperature is estimated by using the Grey box technique. Temperatures are measured in the cavity between the strip and the roller using radiation thermometers. A model is made for estimating strip temperature using the measured temperatures and knowledge of physics of the process.

National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-16074 (URN)10.1109/IMTC.2001.928184 (DOI)0-7803-6646-8 (ISBN)
Conference
18th IEEE Instrumentation and Measurement Technology Conference, 21 May-23 May 2001. IMTC 2001.
Available from: 2011-06-22 Created: 2011-06-22 Last updated: 2017-10-17Bibliographically approved
3. Estimation of emissivity value by using a grey box model
Open this publication in new window or tab >>Estimation of emissivity value by using a grey box model
(English)Manuscript (preprint) (Other academic)
National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-16080 (URN)
Available from: 2011-06-22 Created: 2011-06-22 Last updated: 2017-10-17Bibliographically approved
4. A method for measuring strip temperature in the steel industry
Open this publication in new window or tab >>A method for measuring strip temperature in the steel industry
2002 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 51, no 6, p. 1240-1245Article in journal (Refereed) Published
Abstract [en]

In the steel industry, there are many processes that include measuring and control of temperatures. With higher demand on quality, increased production, and effective energy consumption, the use of noncontact temperature measuring techniques has increased. After the cooling section in a continuous annealing-pickling line, the strip temperature is estimated by using the grey box technique. Temperatures are measured in the cavity between the strip and the roller using radiation thermometers. A model is made for estimating strip temperature using the measured temperatures and knowledge of the physics of the process.

Keywords
grey box identification, nonlinear modeling, pyrometer, steel industry, temperature measurements
National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-16078 (URN)10.1109/TIM.2002.808056 (DOI)000180904700016 ()
Available from: 2011-06-22 Created: 2011-06-22 Last updated: 2017-12-11Bibliographically approved
5. Fault diagnosis and control of a time varying process within the steel industry
Open this publication in new window or tab >>Fault diagnosis and control of a time varying process within the steel industry
(English)Manuscript (preprint) (Other academic)
National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-16081 (URN)
Available from: 2011-06-22 Created: 2011-06-22 Last updated: 2017-10-17Bibliographically approved

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