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

Petkov, Venko; Hadjiski, Mincho; Boshnakov, Kosta

doi:10.2478/cait-2013-0020

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.

References

1. Acharia, T., R. Ajoy. Image Processing Principles and Applications. John Wiley, 2005.
Search in Google Scholar
2. Almeida, C., W. Camihas, A. Braga, V. Padiva, H. Martins, R. Torres. Intelligent Detection and Diagnosis of Lightning Arresters Faults Using Digital Thermovision Image Processing Techniques. - In: Proc. of SPIE, Vol. 5782, Bellingham, WA, 2005.
Search in Google Scholar
3. Blanke, M., M. Kinnaert, J. Lunze, M. Staroswiecki. Diagnosis and Fault Tolerant Control. Springer, 2003.10.1007/978-3-662-05344-7
Search in Google Scholar
4. Ding, S. X. Model Based Fault Diagnosis Techniques. Springer, 2008.
Search in Google Scholar
5. Doukovska, L., V. Petkov, E. Mihailov, S. Vassileva. Image Processing for Technological Diagnostics on Metallurgical Facilities. - Cybernetics and Information Technologies, Vol. 12, 2012, No 4, 66-76.10.2478/cait-2012-0031
Search in Google Scholar
6. Frank, P., S. Ding, T. Maren. Model Based Fault Diagnosis in Technical Processes. - Trans. of the Inst. of Measurement and Control, Vol. 22, 2000.10.1191/014233100676786880
Search in Google Scholar
7. Fidali, M. Application of Analysis of Thermographic Images to Machine State Assessment. - In: Recent Advances in Mechatronics. Jablonski et al., Eds. Springer, 2007.
Search in Google Scholar
8. Hadjiski, M., E. Mihailov, K. Boshnakov, V. Petkov, G. Ruzekov. Isolation and Diagnosis of Damages of Metallurgical ladle Based on Direct Thermovisional Images. - Mechanical Science and Mechanical Engineering, Vol. 17, 2012 (in Bulgarian).
Search in Google Scholar
9. Hadjiski, M., E. Mihailov, V. Petkov. On-Line Infrared of Metallurgical Ladle Lining Working in Periodical Regime. - In: Proc. of the Anniversary Scientific Conference with International Participation “40 Years Department of Industrial Automation”, University of Chemical Technology and Metallurgy - Sofia, Bulgaria, 18.03.2011, 95-98 (in Bulgarian).
Search in Google Scholar
10. Hu, B. Diagnosis of Defects in the Inner Wall of Heat Equipment Based on Infrared Temperature Measurement. http://www.it-paper.com/diagnosis
Search in Google Scholar
11. Iserman, R. Fault Diagnosis Systems. Springer, 2006.10.1007/3-540-30368-5
Search in Google Scholar
12. Maldagne, X. Theory and Practice of Infrared Thermography for Nondestructive Testing. John Wiley, 2001.
Search in Google Scholar
13. Mi hailov, E., M. Hadjiski, V. Petkov, G. Ruzekov. State Diagnosis of Metallurgical Ladle, Based on Direct and Indirect Thermovision Features. - Mechanical Science and Mechanical Engineering, Vol. 17, 2012 (accepted, in Bulgarian).
Search in Google Scholar
14. Astarita, T., G. Cardone, G. Carlomagnoand, C. Meola. A Survey on Infrared Thermography for Convective Heat Transver Measurements. Optics &Laser Technology, Vol. 32, Elsevier, 2000.10.1016/S0030-3992(00)00086-4
Search in Google Scholar
15. Mihailov, E., V. Petkov. Model-Based Diagnosis of Ladle Refractory Lining. - In: Proc. of the International Conference “New Trends in Fatigue and Fracture”, Belgrade, Serbia, 12-14 October 2009.
Search in Google Scholar
16. Patton, R., P. Frank, R. Clark. Issues of Fault Diagnosis for Dynamic Systems. Springer, 2000. 10.1007/978-1-4471-3644-6
Search in Google Scholar

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

Abstract

Paradigm

My account