| Issue |
E3S Web Conf.
Volume 320, 2021
Energy Systems Environmental Impacts (ESEI 2021)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 10 | |
| Section | Power Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202132004010 | |
| Published online | 09 November 2021 | |
Assessment of Technical Condition and Readiness of Pump Units by Diagnostic Methods
1
Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan
2
Research Institute of Irrigation and Water Problems, Tashkent, Uzbekistan
3
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan
* Corresponding author: muhammadiyev_m@rambler.ru
The article presents the developed methods and models for analyzing the dynamic indicators of pumping units for different time intervals of their state during operation. The main tasks of assessing the technical condition are to identify deviations from design solutions, the presence of damage, defects in pump structures that can cause accidents. The results of the development of a diagnostic system for pumping units at pumping stations are presented. The working conditions of the connecting links of the main pumping and power equipment and its diagnostics are considered. The introduction of the proposed diagnostic system will lead to a reduction in operating costs of pumping units and the cost of their maintenance.
© The Authors, published by EDP Sciences, 2021
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.
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.