ITM Web Conf.
Volume 21, 2018Computing in Science and Technology (CST 2018)
|Number of page(s)||11|
|Published online||12 October 2018|
The monitoring system based on lookup algorithm for objects described by ordinary differential equations
The State Higher School of Technology and Economics in Jaroslaw, Institute of Technical Engineering, 37-500 Jaroslaw, Poland
2 University of Rzeszow, Faculty of Mathematics and Natural Sciences, Department of Computer Engineering, 35-959 Rzeszow, Poland
3 Warsaw University of Life Sciences - SGGW, Faculty of Applied Informatics and Mathematics, Department of Applied Informatics, 02-787 Warsaw, Poland
* Corresponding author: email@example.com
The article presents a new approach to monitoring systems of a certain class using the lookup algorithm. The main task is to generate object signals based on measured but only some selected signals. This idea is based on the Kalman filter approach, but the calculation method of the gain coefficients is different. Its values are determined in a similar way as weights in neural networks during learning (incremental method). The proposed lookup algorithm uses expert knowledge a priori for determining gain corrections, and its functioning is presented for the case of two monitoring error zones. The presented results clearly indicate the advantage of the lookup algorithm over the Kalman filter. Two RMSE and MPE indicators were used for the quality of monitoring.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.