<abstract xmlns="http://www.w3.org/1999/xhtml"><p>A new method for diagnosis of the remaining thickness of metallurgical ladle refractory lining working in a batch mode is proposed, where directly measured by a thermovision camera data about the amplitude and phase delay of the maximum surface temperature is used. Regression equations are obtained to determine the remaining thickness of the ladle refractory lining depending on the parameters of steady auto oscillations of the maximum surface temperature. It is shown that the data from nonstationary auto oscillations could be used for adaptation of the regression equations, predicting the remaining thickness of the ladle refractory lining in case of a local damage.</p></abstract>

A new method for diagnosis of the remaining thickness of metallurgical ladle refractory lining working in a batch mode is proposed, where directly measured by a thermovision camera data about the amplitude and phase delay of the maximum surface temperature is used. Regression equations are obtained to determine the remaining thickness of the ladle refractory lining depending on the parameters of steady auto oscillations of the maximum surface temperature. It is shown that the data from nonstationary auto oscillations could be used for adaptation of the regression equations, predicting the remaining thickness of the ladle refractory lining in case of a local damage.

Diagnosis of Metallurgical Ladle Refractory Lining Based on Non-Stationary On-Line Data Processing

University of Chemical Technology and Metallurgy, 1756 Sofia

Institute of Information and Communication Technologies, 1113 Sofia

Cybernetics and Information Technologies

A new method for diagnosis of the remaining thickness of metallurgical ladle refractory lining working in a batch mode is proposed, where directly measured by...

Diagnosis of Metallurgical Ladle Refractory Lining Based on Non-Stationary On-Line Data Processing

Published Online: May 21, 2013

Page range: 122 - 130

DOI: https://doi.org/10.2478/cait-2013-0020

Keywords
Infrared Thermography, metallurgical ladle, oscillation, regression, refractory lining

This content is open access.

Diagnosis of Metallurgical Ladle Refractory Lining Based on Non-Stationary On-Line Data Processing

Published Online: May 21, 2013

Page range: 122 - 130

DOI: https://doi.org/10.2478/cait-2013-0020

KeywordsInfrared Thermography, metallurgical ladle, oscillation, regression, refractory lining

This content is open access.

Keywords
Infrared Thermography, metallurgical ladle, oscillation, regression, refractory lining