| Issue |
MATEC Web Conf.
Volume 212, 2018
2018 International Scientific Conference “Investment, Construction, Real Estate: New Technologies and Special-Purpose Development Priorities” (ICRE 2018)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 7 | |
| Section | New materials, Structures and Technologies for Construction in Specific Conditions of Siberia and the Far East | |
| DOI | https://doi.org/10.1051/matecconf/201821201006 | |
| Published online | 15 October 2018 | |
Regularization of the problems of planning and processing the test results of pipeline systems for hydraulic losses
Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences, 664033, Lermontova str., 130, Irkutsk, Russia
* Corresponding author: oksana@isem.irk.ru
The lack of reliable information on actual characteristics and parameters is the main deterrent to the effective application of mathematical and computer modelling methods for solving problems of optimal reconstruction, adjustment, and development of operational problems. The lack of such information is solved on the basis of applying the identification problems that require expert (approximate) specification of a priori parameter values. This leads to the sensitivity of the solution of identifying a problem to the errors in setting the initial information. One way to solve this problem is to apply regularization methods. In this paper, a numerical example proposes a rule for expert assignment of a priori information on the parameters of elements, which makes it possible to minimize its influence on the results of planning active experiments. In addition, the paper shows the independence of the solution of the identification problem from the composition of the vector of independent parameters.
© 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.