Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Fault diagnosis method of rolling bearing based on AdB value

Authors
Peng Wang, Yu Yuan, Li Tian, Heng Wang
Corresponding Author
Peng Wang
Available Online June 2017.
DOI
10.2991/ammee-17.2017.13How to use a DOI?
Keywords
fault value, characteristic frequency, virtual instrument.
Abstract

In order to better identify the fault type of locomotive running of rolling bearings, through experiment and analysis, the article improves a new method by combining the value of AdB and fault bearing fault characteristic frequency, then through the virtual instrument software to analysis the diagnosis method. Firstly, the extracted data are filtered by two-dimensional Gabor band-pass filter, and then the cepstrum analysis is performed on the filtered data. Through the analysis of the characteristic information, the fault frequency can be obtained, and the fault range is given according to the inherent characteristic frequency of the rolling bearing, and then the final fault level is given by calculating the AdB value. This method can give more accurate fault types and give warning signs in advance, which greatly improves the safety of the locomotive.

Copyright
© 2017, 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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Volume Title
Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.13How to use a DOI?
Copyright
© 2017, 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  - Peng Wang
AU  - Yu Yuan
AU  - Li Tian
AU  - Heng Wang
PY  - 2017/06
DA  - 2017/06
TI  - Fault diagnosis method of rolling bearing based on AdB value
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 67
EP  - 71
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.13
DO  - 10.2991/ammee-17.2017.13
ID  - Wang2017/06
ER  -