Searching for diagnostic features for controlled surfaces contamination recognition system at the optoelectronic monitoring

DOI: 10.34759/trd-2020-112-018

Аuthors

Lebedev A. S.^1*, Dobrolyubov A. N.^1*, Mikhaylenko A. V.^1*, Bezrukov A. V.²

1. Mlitary spaсe Aсademy named after A.F. Mozhaisky, Saint Petersburg, Russia
2. Baltic State Technical University “VOENMEH ” named after D.F. Ustinov, 1, 1st Krasnoarmeyskaya str., Saint Petersburg, 190005, Russia

*e-mail: vka@mil.ru

Keywords:

quality control, artificial intelligence, pattern recognition, dictionary of signs, controlled surface, light intensity

References

1. Deniskin Yu.I., Dubrovin A.V., Podkolzin V.G. Trudy MAI, 2017, no. 95, available at: http://trudymai.ru/eng/published.php?ID=84603

2. Shevtsov S.N., Sibirskii V.V., Chigrinets E.G. Trudy MAI, 2016, no. 91, available at: http://trudymai.ru/eng/published.php?ID=75572

3. Geoff Vorley, Fred Tickle. Quality Management Principles & Practice, Section 9 – Computer Aided Quality, Quality Management & Training (Publications), Ltd, 5th edition, UK, 2002, 335 p.

4. Pavlov P.V., Goryunov A.E. Trudy MAI, 2015, no. 80, available at: http://trudymai.ru/eng/published.php?ID=57019

5. Halász L. Control Methods in Polymer Processing, Studies in Polymer Science, 2012, vol. 10, 486 p.

6. GOST 18353-79. Kontrol' nerazrushayushchii. Klassifikatsiya vidov i metodov (State Standard 18353-79. Non-destructive control. Classification of species and methods), Moscow, Izd-vo standartov, 1980, 12 p.

7. GOST 23479-79. Kontrol' nerazrushayushchii. Metody opticheskogo vida. Obshchie trebovaniya (State Standard 23479-79. Non-destructive control. Methods of the optical type. General requirements), Moscow, Izd-vo standartov, 1980, 13 p.

8. Chigrinets E.G., Verchenko A.V. Trudy MAI, 2019, no. 104, available at: http://trudymai.ru/eng/published.php?ID=102420

9. Potapov A.S. Avtomaticheskii analiz izobrazhenii i raspoznavanie obrazov (Automatic image analysis and pattern recognition), Moscow, LAP Lambert Academic Publishing, 2017, 292 p.

10. Gorelik A.L., Skripkin V.A. Metody raspoznavaniya (Methods of recognition), Moscow, Vysshaya shkola, 1984, 208 p.

11. Tu Dzh., Gonsales R. Printsipy raspoznavaniya obrazov (Principles of pattern recognition), Moscow, Mir, 1978, 411 p.

12. Vorob'ev S. N. Tsifrovaya obrabotka signalov (Digital processing of signals), Moscow, Izdatel'skii tsentr “Akademiya”, 2013, 213 p.

13. Fomin Ya.A. Raspoznavaniya obrazov: teoriya i primenenie (Pattern recognition: theory and application), Moscow, Fazis, 2014, 670 p.

14. Merkov A.B. Raspoznavanie obrazov. Postroenie i obuchenie veroyatnostnykh modelei (Pattern recognition. Building and training of probabilistic models), Moscow, Lenand, 2014, 240 p.

15. Tikhonov V.I. Statisticheskaya radiotekhnika (Statistical radio engineering), Moscow, Izd-vo Media, 2012, 678 p.

16. Tabarin G.T. Metody matematicheskoi fiziki (Methods of mathematical physics), Moscow, Izd-vo ACB, 2009, 208 p.

17. Mazurov V.D. Matematicheskie metody raspoznavaniya obrazov (Mathematical methods of pattern recognition), Sverdlovsk, Izd-vo UrGU, 2010, 101 p.

18. Sutyrin A.A. Trudy MAI, 2012, no. 51, available at: http://trudymai.ru/eng/published.php?ID=29228

19. OST 92-1152-2014. Podgotovka poverkhnosti detalei pod svarku i paiku i obrabotka sborochnykh edinits posle svarki i paiki. Osnovnye trebovaniya (Industry Standard T 92-1152-2014. of Parts surfaces preparation for welding and soldering, and assemblies processing after welding and soldering. Basic requirements), Moscow, Kompozit, 2014, 35 p.

20. Mikhaylenko A.V. Lebedev E.L., Lebedev A.S. Naukoemkie tekhnologii v kosmicheskikh issledovaniyakh Zemli, 2018, vol. 10, no. 2, pp. 4 - 12.

21. Mitra Sanjit K. Digital Signal Processing: A Computer-Based Approach, Mcgraw Hill, 1997, 864 p.

22. Lebedev A.S., Dobrolyubov A.N., Lebedev E.L., Bezrukov A.V. Sovremennye naukoemkie tekhnologii, 2017, no. 2, pp. 36 - 40.

Download