Name
Abstract | ||
|---|---|---|
Efficient maintenance of industrial equipment requires degradation monitoring and prediction. Currently used prediction models are mostly deterministic and cannot consider uncertainty inherent to degradation measurements. In this paper we propose using time series models obtained using Facebook Prophet algorithm to predict the evolution of degradation of turbomachinery. We illustrate our considera... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MMAR49549.2021.9528483 | 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR) |
Keywords | DocType | ISBN |
Degradation,Adaptation models,Analytical models,Uncertainty,Time series analysis,Predictive models,Maintenance engineering | Conference | 978-1-7281-7380-1 |
Citations | PageRank | References |
1 | 0.63 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jerzy Baranowski | 1 | 67 | 21.14 |
| Waldemar Bauer | 2 | 33 | 10.21 |
| Nataliia Kashpruk | 3 | 1 | 0.63 |
| Marta Zagorowska | 4 | 27 | 7.97 |