The Detection of Defects in Rolling Bearings Based on the Analysis of Vibroacoustic Signal

DOI

10.2991/coal-18.2018.39How to use a DOI?

Keywords

vibro diagnostic, defect, sliding bearing, defect bearing, mining machine.

Abstract

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.

Copyright

© 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/).

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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  -