基于解调振动信号特征提取齿轮箱的故障诊断  

Fault diagnosis of geabox with feature extraction from demodulated vibration signal

作　　者：陈汉新[1] 王庆均[1] 陈绪兵[1] 蔡洪涛[1] 秦襄培[1] 

机构地区：[1]武汉工程大学机电工程学院,湖北武汉430074

出　　处：《武汉工程大学学报》2010年第9期67-77,共11页Journal of Wuhan Institute of Technology

基　　金：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)

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.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.

关 键 词：故障识别 解调振动信号 HILBERT变换 

分 类 号：TH165.3[机械工程—机械制造及自动化]