提升小波在齿轮箱故障诊断中的应用  

Gearbox Fault Diagnosis Using Lifting Wavelet

作　　者：季忠[1,2] 黄捷[2] 秦树人[2] 

机构地区：[1]重庆大学生物工程学院,重庆400044 [2]重庆大学测试中心,重庆400044

出　　处：《振动．测试与诊断》2010年第3期291-294,共4页Journal of Vibration,Measurement & Diagnosis

基　　金：国家"八六三"高科技资助项目(编号:2008AA042408);重庆市自然科学基金资助项目(编号:CSTC2009BB5035);重庆市科技攻关重点资助项目(编号:CSTC2009AB5200)

摘　　要：利用小波变换进行信号特征提取时,特征提取效果依赖于小波基的选择。为了避免这一限制,引入一种基于提升小波的根据故障特征波形特点实现小波构造的方法。对齿轮箱振动信号的分析和故障特征信息提取结果表明,利用提升小波能比一般小波更好地与齿轮箱故障特征信号相匹配,提取出更有效的故障特征,为后续的故障诊断和分析提供了良好的条件。The results of feature extraction of a signal depend on the selection of wavelet base when wavelet transform is employed to extract the signal features.To overcome the limitation,a method based on lifting wavelet is introduced to reconstruct the wavelet according to the characteristic of gearbox＇ fault feature wave.The results show that the lifting wavelet can match the fault feature signal better than the general wavelet and is more effective in extracting the fault feature information,which provides favorable condition for subsequent feature detection of vibration signal and fault diagnosis.

关 键 词：齿轮箱 特征提取 故障诊断 提升小波 

分 类 号：TH702[机械工程—仪器科学与技术] TH165[机械工程—精密仪器及机械]