Study on the technology of abstraction characteristic spectrum from the transmission shaft failure signal using wavelet de-noising and AR spectrum

被引：0
|
作者：
Zeng, YH [1 ]
Yan, J [1 ]
Wang, JX [1 ]
Ling, HF [1 ]
机构：
[1] PLA Univ Sci & Tech, Engn Inst, Engn Corps, Nanjing 210007, Peoples R China
来源：
ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 6 | 2005年
关键词：
wavelet; AR spectrum analyzing; shaft of automotive transmission;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
When running, it is very difficult to extract then vibration signal of transmission applying traditional spectrum analysis, under the strong background noise. While wavelet packet de-noising can remove noise and separate the signal and noise effectively. AR (auto regression) spectrum estimate adapts to analyzing the stable short time signal. This paper extracts characteristic information of vibration signal of automotive transmission shaft by applying wavelet packet de-noising and AR spectrum to the signal.
引用
收藏
页码：264 / 268
页数：5
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