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Wavelet-based Quantitative Analysis of Vibration Signal of Turbine Machines(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2002年02期
Page:
26-29
Research Field:
Publishing date:

Info

Title:
Wavelet-based Quantitative Analysis of Vibration Signal of Turbine Machines
Author(s):
Hou JinghongHuang ShuhongShen TaoZhang Yanping
Huazhong University of Science and Technology,430074,Wuhan,PRC
Keywords:
w avelet tr ansform fault diagnosis sig nal processing feature ex tract ing
PACS:
TH113.1
DOI:
-
Abstract:
On the basis o f the very good t ime- frequency domain featur es of wavelet, this paper studies, the continuous wavelet coefficients of turbine mechanical vibration signal. Considering feature ex tracting, this paper puts forward new stat istics and proves that this kind of one-o rder moment is very effective with 8 kinds of fault analysis results given. Preparator y research show s that t his quant itat ive analysis met hod can be used for extr acting features of vibr atio n siganl.

References:

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[ 2] 刘刚, 屈梁生. 机械信号连续小波系数的统计特性研究[ J] . 西安交通大学学报, 2002, 36( 3) .
[ 3] 杨福生. 小波变换的工程分析与应用[M] . 北京: 科学出版社, 2000.
[ 4] 张志涌. 精通MATLAB5. 3 版[M] . 北京: 北京航空航天大学出版社, 2000.

Memo

Memo:
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Last Update: 2013-04-29