Application of Time-domain Average and Wavelet on Fault Diagnosis in Gear
Authors
Haiying Kang, Guangsheng Liu, Yaoxin He, Changzhi Jia
Corresponding Author
Haiying Kang
Available Online June 2017.
- 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/).
Cite this article
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 -