Application of Time-domain Average and Wavelet on Fault Diagnosis in Gear

DOI

10.2991/icmia-17.2017.124How to use a DOI?

Keywords

Time domain average; wavelet; gear; fault diagnosis.

Abstract

Time-domain average is a common method of extracting cycle heft that we are interested in from complex cycle signals that get along with noise. When it was put into practice, because of cycle truncation error, it can't gain satisfactory effect. The fault vibration signals of the gear were measured in this paper and a new arithmetic of time-field average was put forward which can settle the problem of cycle truncation error affect the result of averaging in substance, and then the outcomes was decomposed and redecomposed with wavelet. The result shows that during processing the fault signals of the gear the time-average method can eliminate the influence of the background noise and can acquire obvious efforts.

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  - Haiying Kang
AU  - Guangsheng Liu
AU  - Yaoxin He
AU  - Changzhi Jia
PY  - 2017/06
DA  - 2017/06
TI  - Application of Time-domain Average and Wavelet on Fault Diagnosis in Gear
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 693
EP  - 697
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.124
DO  - 10.2991/icmia-17.2017.124
ID  - Kang2017/06
ER  -