Bearing Fault Transient Components Based on Absolute Autocorrelation Detection and Feature Expression Research

DOI

10.2991/caai-17.2017.57How to use a DOI?

Keywords

absolute; since the related; bearing fault; the transient; detection

Abstract

The article on the basis of analyzing the traditional autocorrelation, put forward an improvement on the transient impact composition of autocorrelation detection method, this method is able to signal the periodic transient component with more parameters. Under various faults of bearing vibration signal applications show that this method can very effectively expressed in the vibration impact characteristics, and can be conducted according to the characteristics of bearing fault diagnosis. The idea of this method is based on signal absolute value instead of the envelope calculations, so it can reduce the computational complexity, still can obtain good results.

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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TY  - CONF
AU  - Ming Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Bearing Fault Transient Components Based on Absolute Autocorrelation Detection and Feature Expression Research
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 255
EP  - 257
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.57
DO  - 10.2991/caai-17.2017.57
ID  - Zhang2017/06
ER  -