基于Hilbert解包络及倒频谱分析的齿轮箱断齿故障诊断研究  

Tooth Fracture Diagnosis in Gearbox Based on Hilbert Envelopment and Cepstrum

作　　者：赵怀璧[1] 王林[1] 

机构地区：[1]华北电力大学,河北保定071003

出　　处：《煤矿机械》2011年第5期232-234,共3页Coal Mine Machinery

摘　　要：由于传统的时域分析和傅里叶变换无法有效地提取故障特征,采用Hilbert解包络对具有调制现象和冲击现象的齿轮故障信号进行解调分析,同时运用倒频谱分析方法对齿轮箱振动异常信号进行提取和分离,获取了异常振动产生的周期性故障信号。结果表明倒频谱分析与Hilbert解包络分析相结合是齿轮箱故障检测的一种有效的诊断方法。As the traditional time domain analysis and Fourier transform can not efficiently extract fault features,Hilbert envelopment and cepstrum were used successfully to perform demodulation on the fault signals with modulation and impact phenomenon,meanwhile used cepsrum to extract and separate abnormal signal effectively.As a result,the periodic fault signal caused by abnormal vibration was gained effectively.The results show that the combination of cepstrum analysis and Hilbert envelope analysis is an effective diagnostic method on gearbox fault detection.

关 键 词：齿轮 故障诊断 倒频谱分析 包络分析 

分 类 号：TH123.41[机械工程—机械设计及理论]