City Bus Reliability Assessment Based on State Space Models
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
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spoza wykazu
| Status: | |
| Autorzy: | Vališ David, Hasilová Kamila, Rymarz Joanna |
| Dyscypliny: | |
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| Wersja dokumentu: | Elektroniczna |
| Język: | angielski |
| Strony: | 1976 - 1982 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 31st European Safety and Reliability Conference |
| Skrócona nazwa konferencji: | ESREL 2021 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 19 września 2021 do 23 września 2021 |
| Miasto konferencji: | Angers |
| Państwo konferencji: | FRANCJA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The city bus reliability and safety are crucial aspects of their frequent operation. Reliable and safe operation has, apart from others, one important aspect-it does not increase ownership and entrepreneur costs. We had been part of the assessment team, which was supposed to observe bus operations in a medium size town. We collected records of bus operation, maintenance, failures occurrences, etc. The buses failures were identified up to a subsystem level; therefore, we know which subsystem in a bus had failed. This project lasted for more than six years. Thanks to this, we possess a significant statistical data set, which is very rich in information. As we have records of each event occurrence in terms of date, mileage, fuel consumption, subsystem affected, etc., we do have a vector of more than 20 variables while some are dependent and some independent. In this paper, we present the data elaboration. There are various approaches possible to model empirical data. However, thanks to the data form and structure, a suitable approach is time series modeling. Our effort is aimed at initial data mining, basic characteristics modeling, reliability measures estimation, course plotting, and finding correlation amongst respective variables. The data create interesting courses and dependencies, which we would like to develop further. Modeling approach such as time series state space models based on backpropagation Kalman recursor is a suitable tool, which is applied on the data here. The modeling approach has been chosen due to relevance and ideal applicability.We would like to present essential reliability measures, their courses, and developments with potential to their predictions. |
