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[1]陈汉新,王庆均,陈绪兵,等.基于解调振动信号特征提取齿轮箱的故障诊断[J].武汉工程大学学报,2010,(09):67-77.[doi:10.3969/j.issn.16742869.2010.09.018]
 CHEN Han xin,WANG Qing jun,CHEN Xu bing,et al.Fault diagnosis of geabox with feature extraction from demodulated vibration signal[J].Journal of Wuhan Institute of Technology,2010,(09):67-77.[doi:10.3969/j.issn.16742869.2010.09.018]
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基于解调振动信号特征提取齿轮箱的故障诊断(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2010年09期
页码:
67-77
栏目:
机电与信息工程
出版日期:
2010-09-30

文章信息/Info

Title:
Fault diagnosis of geabox with feature extraction from
demodulated vibration signal
文章编号:
16742869(2010)09006711
作者:
陈汉新王庆均陈绪兵蔡洪涛秦襄培
武汉工程大学机电工程学院,湖北 武汉 430074)
Author(s):
CHEN Hanxin WANG Qingjun CHEN Xubing CAI Hongtao QING Xiangpei
School of Mechanical and Electrical Engineering, Wuhan Institute of Technology,Wuhan,430074,China
关键词:
故障识别解调振动信号Hilbert变换
Keywords:
fault detection demodulate vibration signal hilbert transform
分类号:
TH165+.3
DOI:
10.3969/j.issn.16742869.2010.09.018
文献标志码:
A
摘要:
通过振动信号的可调频率成分研究齿轮裂纹尺寸的故障识别,振动信号分析是基于Hilbert变换和自适应小波.Hilbert变换用于获得振动包络,从而从低信噪比的振动信号中解调载波频率,自适应Morlet小波建立振动信号模型,从而从解调载波频率中提取特征,以鉴定齿轮箱中齿轮的裂纹尺寸.该方法用于分析在不同角速度、不同负载转矩和不同裂纹尺寸下的试验振动信号,结果表明,该方法用于鉴定齿轮箱中齿轮的裂纹尺寸是灵敏和有效的.
Abstract:
This paper investigates the fault identification of the gear crack sizes in the gearbox by the demodulated frequency components of the vibration signal, which is based on the Hilbert transform and adaptive wavelet. The Hilbert transform is used to obtain the envelope of the vibration to demodulate the carrier frequency from the vibration signal with low signaltonoise ratio. The adaptive Morlet wavelet is applied to establish the model of the vibration signal to extract the features from the demodulated carrier frequency to identify the crack sizes of the gears in the gearbox. The proposed method is used to analyze the experimental vibration signals under the different angular speeds, load torques and crack sizes. The results show that the proposed method is effective and sensitive to identify the crack sizes of the gears in gearbox.

参考文献/References:

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备注/Memo

备注/Memo:
龚晓宁收稿日期:20100426基金项目:湖北省自然科学基金(2008CDB300);湖北省教育厅科学技术研究重大项目(Z2010150)作者简介:陈汉新(1969),男,湖北武汉人,教授,博士.研究方向:故障诊断、无损检测和系统状态监控.
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