| Issue |
MATEC Web Conf.
Volume 132, 2017
XIII International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2017)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 5 | |
| Section | Fundamental methods of system analysis, modeling and optimization of dynamic systems | |
| DOI | https://doi.org/10.1051/matecconf/201713204001 | |
| Published online | 31 October 2017 | |
Increase robustness of the method of diagnostics and identification of high-precision positioning systems
SRSPU (NPI), Department of Information and Measuring Systems and Technologies, 346428 Novocherkassk, Russia
* Corresponding author: lankiniohn@yandex.ru
Today, high-precision positioning systems are used in various fields of science and technology, providing fast and accurate control of movements. Considering the fact that such systems perform important tasks, diagnostics and timely detection of defects is an urgent task. To effectively diagnose and identify defects of such systems, a method based on the transition to the space of principal components was developed. Such a method will make it possible to represent each characteristic in the form of a point in a new orthogonal space. Despite the possibility of using such a method, a drawback was revealed, which is the low stability of this method to the gross errors in the measurement. In this paper, we propose an approach that provides a significant increase in the stability of the method for diagnosing and identifying high-precision positioning systems.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.