- Tytuł:
- Comparison of Time Warping Algorithms for Rail Vehicle Velocity Estimation in Low Speed Scenarios
- Autorzy:
-
Hensel, S.
Marinov, M. B. - Powiązania:
- https://bibliotekanauki.pl/articles/221440.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
velocity estimation
cross-correlation
dynamic programming
eddy current sensors - Opis:
- Precise measurement of rail vehicle velocities is an essential prerequisite for the implementation of modern train control systems and the improvement of transportation capacity and logistics. Novel eddy current sensor systems make it possible to estimate velocity by using cross-correlation techniques, which show a decline in precision in areas of high accelerations. This is due to signal distortions within the correlation interval. We propose to overcome these problems by employing algorithms from the field of dynamic programming. In this paper we evaluate the application of correlation optimized warping, an enhanced version of dynamic time warping algorithms, and compare it with the classical algorithm for estimating rail vehicle velocities in areas of high accelerations and decelerations.
- Źródło:
-
Metrology and Measurement Systems; 2017, 24, 1; 161-173
0860-8229 - Pojawia się w:
- Metrology and Measurement Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł