| Issue |
E3S Web Conf.
Volume 105, 2019
IVth International Innovative Mining Symposium
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 7 | |
| Section | Innovations in Mining Machinery | |
| DOI | https://doi.org/10.1051/e3sconf/201910503011 | |
| Published online | 21 June 2019 | |
Diagnostics of Gearboxes of Mining Belt Conveyors Using Floating Spectral Masks
1
Branch of T.F. Gorbachev Kuzbass State Technical University in Prokopievsk, 653039, Prokopievsk, Russian Federation
2
Federal Research Center of Coal and Coal Chemistry SB RAS, 650003, Kemerovo, Russian Federation
3
T.F. Gorbachev Kuzbass State Technical University, 650000, Kemerovo, Russian Federation
4
Indian Institute of Technology, Mining Engineering Department, 110 016 Hauz Khas, New Delhi, India
* Corresponding author: kuzinevgen@gmail.com
The article shows the relevance of improving the maintenance system of belt conveyors. The work features of mining gearboxes and the complexity of diagnosing the processes of wear in their elements are considered. On the one hand, the variable character of the load and changeable speed of the conveyor in accordance with the needs of the technological process from another part interferes in the operation of diagnostic systems. The results of the distribution of the overall level of vibration on the same type of gearboxes show different rates of degradation of their nodes. A solution to the problem of assessing the technical condition of the gearbox elements using the “floating” reference spectral masks is proposed. Spectral masks are created for several speeds of the belt movement. The amplitude levels of the velocity vibration characterize defects. They are changing depending on the frequency. They so to say “float”. The spectral masks of the “warning” level and the results of assessing the state of the gearbox with their use are shown.
© 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.