COMPARISON OF TIME WARPING ALGORITHMS FOR RAIL VEHICLE VELOCITY ESTIMATION IN LOW SPEED SCENARIOS

被引：3

作者：

Hensel, Stefan ^{[1
]}

Marinov, Marin B. ^{[2
]}

机构：

[1] Univ Appl Sci Offenburg, Dept Elect Engn, Badstr 24, D-77652 Offenburg, Germany

[2] Tech Univ Sofia, Fac Elect Engn & Technol, Kliment Ohridski Blvd, BG-1756 Sofia, Bulgaria

来源：

METROLOGY AND MEASUREMENT SYSTEMS | 2017年 / 24卷 / 01期

关键词：

velocity estimation; cross-correlation; dynamic programming; eddy current sensors; MASS-SPECTROMETRY;

D O I：

10.1515/mms-2017-0012

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

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.

引用

页码：161 / 173

页数：13

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