Issue |
E3S Web Conf.
Volume 109, 2019
International Conference Essays of Mining Science and Practice
|
|
---|---|---|
Article Number | 00027 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/201910900027 | |
Published online | 09 July 2019 |
Estimate of intrinsic safety of capacitive circuits
1
Daughter enterprise «Production and engineering firm «SHATL», 50005, Kryvyi Rih, Tbiliska Str., 11, Ukraine
2
State engineering academy Zaporizhzhia, 69006, Zaporizhzhia, Sobornyi Ave., 226, Ukraine
3
Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine, 49005, Dnipro, Simferopolska Str., 2a, Ukraine
* Corresponding author: gladkov55@ukr.net
A universal method has been developed and tested for computer estimate of intrinsic safety of inductive capacitive circuits, which takes into account the most hazardous discharge type by contact closure and the regression dependences are obtained of minimal igniting energy on discharge time in a capacitive circuit and the comparison is made of results with available experimental dependences. A regression equation is received which connects minimal igniting energy and discharge time as well as voltage of a capacitive circuit. The comparison of the results with available experimental dependencies is made. The intrinsic safety parameters are defined which leads to decrease of risk for explosion and freely burning fire in a coal mine.
© The Authors, published by EDP Sciences, 2019
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.