Open Access

Intelligent methods for process control and diagnostics of a mill fan system


Cite

1. Courrech, J., R. L. Eshleman. Condition Monitoring of Machinery. Harris’ Shock and Vibration Handbook. 5th Edition. C. M. Harris, Ed. New York, Mc Graw Hill, 2002, 1-25.Search in Google Scholar

2. Blanke, M., M. Kinnaert, J. Lunz e, M. Staroswiecki. Diagnosis and Fault-Tolerant Control. Berlin, Springer-Verlag, 2003.10.1007/978-3-662-05344-7Search in Google Scholar

3. Klepikov, N., V. Abidennikov, A. Volkov, V. Simono v, F. Veksler, V. Monahova, L. Ogurcova. Systems of Mill Fans and Burners for Dust Preparation in Big Power Plants. - Toploenergetika, Vol. 9, 2008, 51-56 (in Russian).Search in Google Scholar

4. Ge, Z. Q., U. Kruger, L. Lamont, Lei Xi e, Z. Song. Fault Detection in Non-Gaussian Vibration Systems Using Dynamic Statistical-Based Approaches. - International Journal of Mechanical Systems and Signal Processing, Vol. 24, 2010, No 8, 2972-2984.10.1016/j.ymssp.2010.03.015Search in Google Scholar

5. Charalambous, C. D., A. Logothetis. Maximum Likelihood Parameter Estimation from Incomplete Data via the Sensitivity Equations: the Continuous Time Case. - IEEE Trans. on Automatic Control, Vol. 45, 2000, No 5, 928-934.10.1109/9.855553Search in Google Scholar

6. Fragkoulis, D., G. Roux, B. Dahhou. Detection, Isolation and Identification of Multiple Actuator and Sensor Faults in Nonlinear Dynamic Systems: Application toa Waste Water Treatment Process. - International Journal of Applied Mathematical Modelling, Vol. 35, 2011, No 1, 522-543.10.1016/j.apm.2010.07.019Search in Google Scholar

7. Ma, J. P., J. Jian g. Applications of Fault Detection and Diagnosis Methods in Nuclear Power Plants: A Review. - Journal of Progress in Nuclear Energy, Vol. 53, 2011, No 3, 255-266.10.1016/j.pnucene.2010.12.001Search in Google Scholar

8. Chen, R. H., D. L. Mingor i, J. L. Speyer. Optimal Stochastic Fault Detection Filter. - International Journal of Automatica, Vol. 39, 2003, No 3, 377-390.10.1016/S0005-1098(02)00245-5Search in Google Scholar

9. Chen, R. H., J. L. Speyer. A Generalized Least-Squares Fault Detection filter. - International Journal of Adaptive Control and Signal Processing- Special Issue: Fault Detection and Isolation, Vol. 14, 2000, No 7, 747-757.10.1002/1099-1115(200011)14:7<747::AID-ACS619>3.0.CO;2-FSearch in Google Scholar

10. Wang, H., W. Li n. Applying Observer Based FDI Techniques to Detect Faults in Dynamic and Bounded Stochastic Distributions. - International Journal of Control, Vol. 73, 2000, No 15, 1424-1436.10.1080/002071700445433Search in Google Scholar

11. Wang, H. Bounded Dynamic Stochastic Systems: Modelling and Control. London, Springer, 2000.10.1007/978-1-4471-0481-0Search in Google Scholar

12. Odgaard, P. F., B. Mataji. Fault Detection in Coal Mills used in Power Plants. - In: Proc. of IFAC Symposium on Power Plants and Power Systems Control, Pergamon Press, Canada, 2006, 177-182.10.3182/20060625-4-CA-2906.00036Search in Google Scholar

13. Arauzo, I., C. Cortés. Diagnosis of Milling System Performance Based on Operating Window and Mill Consumption Correlation. - In: Proc. of 30th Intersociety Energy Conversion Engineering Conference, Vol. 2, 1995, Orlando Fl., USA, 397-402.Search in Google Scholar

14. Wünnenberg, J. Observer-Based Fault Detection in Dynamic Systems. VDI-Fortschrittsber, Düsseldorf, Germany, 1990.Search in Google Scholar

15. Bonissone, P., V. Badami, K. H. Chiang, P. S. Khedkar, K. Marcelle, M. J. Schutten. Industrial Applications of Fuzzy Logic at General Electric. - Proc. of IEEE, Vol. 83, 1995, No 3, 450-465.10.1109/5.364490Search in Google Scholar

16. Bonissone, P., Y-T. Chen, K. Goebel, P. Khedka r. Hybrid Soft Computing Systems: Industrial and Commercial Applications. - Proc. of IEEE, Vol. 87, 1999, No 9, 1641-1667.10.1109/5.784245Search in Google Scholar

17. Chen, S., S. A. Billings, P. M. Gran t. Recursive Hybrid Algorithm for Nonlinear System Identification Using Radial Basis Function Networks. -International Journal of Control, Vol. 55, 1992, No 5, 1051-1070.10.1080/00207179208934272Search in Google Scholar

18. Hadjiski, M., S. Dukovski. Adaptive Control of 210 MW Boiler Milling System - Comparative Analysis of Several Approaches. - In: International Symposium on Adaptive Control/Signal Processing, Budapest, Hungary, 1995.Search in Google Scholar

19. Koprinkova-Hristova, P., L. Doukovska, S. Beloreshki. Fuzzy Classifier of Mill- Fan System Working Regimes. - In: Proc. of 19th International Symposium PCPPS, 2011, 25-28.Search in Google Scholar

20. Doukovska, L., P. Koprinkova-Hristova , S. Beloreshki. Analysis of Mill Fan System for Predictive Maintenance. - In: Proc. of the International Conference Automatics and Informatics, 2011, Sofia, Bulgaria, 331-335.Search in Google Scholar

21. Balabanov, T., P. Koprinkova-Hristova, L. Doukovsk a, M. Hadjiski, S. Beloreshki. Neural Network Model of Mill-Fan System Elements Vibration for Predictive Maintenance. - In: Proc. of the International Symposium on Innovations in Intelligent Sys Tems and Applications -INISTA’11, Istanbul, Turkey, 2011, 410-414. ISBN 978-1-61284-920-1.Search in Google Scholar

22. Koprinkova-Hristova, P., M. Hadjiski, L. Doukovska, S. Beloreshki. Recurrent Neural Networks for Predictive Maintenance of Mill Fan Systems. - International Journal of Electronics and Telecommunications (JET), Versita, Warsaw, Poland, Vol. 57, 2011, No 3, 401-406. ISSN 0867-6747.10.2478/v10177-011-0055-2Search in Google Scholar

23. Nikov, V., P. Koprinkova-Hristova, L. Doukovsk a. Fuzzy Methods for Mill Fan Systems Technical Diagnostics. - In: Proc. of the Federated Conference on Computer Science and Information Systems - Fed CSIS’12, Wroclaw, Poland, 2012, CD Proc., 139-143. ISBN 978-83-60810-51-4.Search in Google Scholar

24. Hadjiski, M., L. Doukovska, P. Koprinkova-Hristova. Intelligent Diagnostic on Mill Fan System. - In: Proc. of 6th IEEE International Conference on Intelligent Systems - IS’12, Sofia, Bulgaria, 2012, 341-346. ISBN 978-1-4673-2782-4.10.1109/IS.2012.6335158Search in Google Scholar

25. Hadjiski, M., L. Doukovska. Technical Diagnostics of Mill Fan System. - Compt. Rend. Acad. Bulg. Sci., Vol. 65, 2012, No 12, 1731-1738. ISSN 1310-1331.Search in Google Scholar

26. Hadjiski, M., L. Doukovska. CBR Approach for Technical Diagnostics of Mill Fan System. - Compt. Rend. Acad. Bulg. Sci., Vol. 66, 2013, No 1, 93-100. ISSN 1310-1331.10.7546/CR-2013-66-1-13101331-12Search in Google Scholar

eISSN:
1314-4081
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology