Conveyor Belts Joints Remaining Life Time Forecasting with the Use of Monitoring Data and Mathematical Modelling
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Kozłowski Edward, Borucka Anna, Liu Yiliu , Mazurkiewicz Dariusz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 44 - 54 |
| Web of Science® Times Cited: | 2 |
| Scopus® Cytowania: | 2 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | First International Scientific Conference "Innovations in Mechatronics Engineering" |
| Skrócona nazwa konferencji: | ICIENG 2021 ; ICIE 2021 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 28 czerwca 2021 do 30 czerwca 2021 |
| Miasto konferencji: | Guimarães |
| Państwo konferencji: | PORTUGALIA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| Monitoring the condition of conveyor belt joints by measuring and continuously analysing changes in their length raises a number of research challenges. One of them is the need for a more advanced method of assessment of the condition of each individual joint. Suitable mathematical modelling that would allow to identify the change in the length of such joints over its life time could be considered as a potential solution. Therefore, the aim of this study was to indicate that on the basis of the operation history of such elements, it is possible to estimate the parameters of the time series model, allowing to identify the joints which should be observed more carefully due to the unfavourable changes occurring in them. As a results of this research aim - the article presents the methodology allowing to identify the proper model and the function estimated for the selected joint. |
