Artificial intelligence methods in diagnostics of coal-biomass blends co-combustion in pulverised coal burners
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Smolarz Andrzej, Wójcik Waldemar, Gromaszek Konrad, Komada Paweł, Lytvynenko Volodymyr I., Mussabekov Nazarbek, Yesmakhanova Laura Nurlanovna, Toigozhinova Ainur |
| Dyscypliny: | |
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| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 0,5 |
| Język: | angielski |
| Strony: | 311 - 317 |
| Scopus® Cytowania: | 3 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The paper presents the technologies being developed in the Institute of Electronics and Information Technologies at Lublin University of Technology. They use optical sensors and artificial intelligence methods for process supervision and diagnostics. Research is aimed at developing a system allowing parametric evaluation of the quality of pulverized coal burner operation. The information about the status of the device is useful only when it has a form understandable to the operator or automatic control system and diagnostics. In the article, we analyse the case when improper operation of the burner consists in too high or too low excess air coefficient, diagnostics will therefore be relied on to detect three states |
