The Detection of Defects in Rolling Bearings Based on the Analysis of Vibroacoustic Signal
- 10.2991/coal-18.2018.39How to use a DOI?
- vibro diagnostic, defect, sliding bearing, defect bearing, mining machine.
In article the approach to identification of defects roller bearings used in the various parts and components of mining machinery and equipment based on the wavelet transform of the vibro-acoustic signals generated by the various defects arising in the supporting elements of power transmission, transforming and actuators mining equipment. Classification of existing methods of diagnostics of technical condition of rolling bearings is resulted. Advantages and disadvantages of these methods are considered. The model of formation of shock pulses in the event of defects is constructed and the possibility of using wavelet transforms for recognizing the technical state is shown. An example of diagnostics of rolling bearings of the gearbox RKC-400 is considered.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Boris Gerike AU - Andrey Mokrushev PY - 2018/10 DA - 2018/10 TI - The Detection of Defects in Rolling Bearings Based on the Analysis of Vibroacoustic Signal BT - Proceedings of the 9th China-Russia Symposium "Coal in the 21st Century: Mining, Intelligent Equipment and Environment Protection" (COAL 2018) PB - Atlantis Press SP - 212 EP - 216 SN - 2352-5401 UR - https://doi.org/10.2991/coal-18.2018.39 DO - 10.2991/coal-18.2018.39 ID - Gerike2018/10 ER -