| Issue |
E3S Web Conf.
Volume 15, 2017
The 1st Scientific Practical Conference “International Innovative Mining Symposium (in memory of Prof. Vladimir Pronoza)”
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 6 | |
| Section | Innovative Mining Equipment | |
| DOI | https://doi.org/10.1051/e3sconf/20171503008 | |
| Published online | 07 April 2017 | |
Development of the preventive maintenance system for belt conveyors reducers
1 Federal Research Center of Coal and Coal Chemistry SB RAS, 650003, 10 Leningradsky av., Kemerovo, Russian Federation
2 T.F. Gorbachev Kuzbass State Technical University, 650000, 28 Vesennyaya st., Kemerovo, Russian Federation
3 Branch of T. F. Gorbachev Kuzbass State Technical University in Prokopievsk, 653039, Kemerovo region, 19a Nogradskaya str., Prokopievsk, Russia
* Corresponding author: gbl_42@mail.ru
Heavy operating conditions of mining machines as well as the high level of dynamic loads lead to reduction of their service life. The quantitative estimation of the machine reliability by one of the feature – service life – has become widely distributed in all the branches of engineering. Technical diagnosis is one of the important methods of improving the reliability in operating conditions. The diagnostics sub-system should provide for: non-destructive inspection of a technical condition of objects, the definition of sudden and parametric failures of mining machines and their systems, the detection of gradual failures by predicting changes in the monitored parameters, a continuous and periodic technical inspection. The obtained results given in this article prove the possibility of creating a group of common diagnostic criteria suitable for assessing the technical state of reducers of mining machines and equipment, but also being a prerequisite for the effective short-term prediction of the parameters under study when developing adaptive mathematical models.
© The Authors, published by EDP Sciences, 2017
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.
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