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


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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, 2003.10.1007/978-3-662-05344-7Search 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-2012-0031Search 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, 2000.10.1191/014233100676786880Search 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/diagnosisSearch in Google Scholar

11. Iserman, R. Fault Diagnosis Systems. Springer, 2006.10.1007/3-540-30368-5Search 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)00086-4Search 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. 10.1007/978-1-4471-3644-6Search in Google Scholar

eISSN:
1314-4081
ISSN:
1311-9702
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, Information Technology