Modelling and identification of an air cooling process

Spannar, J.; Sohlberg, Björn

doi:10.1109/cca.1997.627581

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Pulp refiner (Allison, Isaksson, and Karlström, 1995) Air−cooling process for steel strips (Spännar and Sohlberg, 1997) Monitoring and failure diagnosis in steel strips (Sohlberg, 1998a) Paperboard properties (Bortolini, 2001) Indirect measurement of steel strip temperature (Spännar, Wide, and Sohlberg, 2002) River control (Sohlberg and Särnfelt, 2002) A heating process (Sohlberg, 2003) Drive train identification (Isaksson and Lindkvist, 2003).…”

Section: Other Applications Of the Methodsmentioning

confidence: 99%

Practical Grey-box Process Identification

2006

Advances in Industrial Control

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Section: Other Applications Of the Methodsmentioning

confidence: 99%

Practical Grey-box Process Identification

2006

Advances in Industrial Control

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“…In the actual strip line the steel quality changes giving a continuous change of emissivity, which resulted in an approach to estimate the emissivity on-line. By combining the model for the cooling section [12] and the model used in the temperature measuring system [13] a new model for estimating the unknown strip emissivity was constructed [14].…”

mentioning

confidence: 99%

“…A model of the air cooling process was made with the use of grey-box identification [12]. The objective was to use the air cooling model for a better understanding of the behaviour of the process, which demanded physical interpretation of the model.…”

mentioning

confidence: 99%

Using the Grey Box Technique in Measurement Systems

Spannar

Wide

2005

2005 Sensors for Industry Conference

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To increase the usefulness and understanding of sensors and sensor measurement systems, the use of models and advanced signal processing can be effective tools. In the field of grey box technique in measurement systems, the focus is directed on a priori information about different complex parts of the process. We often need to model different parts of the process, in sub-models. This approach often results in effective systems, which are more suitable for the application. In this paper two measurement systems based on grey-box technique are shown. The two cases deal with two separate fields of measurements, namely a non-contact temperature measurement approach and a localization problem. Generally, the models are based on physical laws and often involve nonlinearities. In these cases, we deal with a priori information about the processes involved and focus on the existing sensors.

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Estimation of a non-measurable variable by using Grey box modelling

Spannar

Wide²,

Sohlberg³

IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in The

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Modelling and identification of an air cooling process

Cited by 5 publications

References 2 publications

Practical Grey-box Process Identification

Practical Grey-box Process Identification

Using the Grey Box Technique in Measurement Systems

Estimation of a non-measurable variable by using Grey box modelling

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