基于ELMD和能量算子解调的滚动轴承故障诊断方法研究  

Fault Diagnosis Method of Rolling Bearing Based on ELMD and Energy Operator Demodulation

作　　者：李慧梅[1,2] 安钢[1] 郑立生 

机构地区：[1]装甲兵工程学院机械工程系,北京100072 [2]军事交通学院汽车工程系,天津300161 [3]空军驻广深地区军事代表室,广东广州510310

出　　处：《机床与液压》2014年第23期200-203,191,共5页Machine Tool & Hydraulics

摘　　要：针对滚动轴承发生故障时信号的调制特点,提出了基于总体局部均值分解(ELMD)和Teager能量算子解调的故障诊断方法。运用ELMD方法对振动信号进行分解,得到有限个单分量的调幅调频信号;运用能量算子解调方法对包含有故障特征信息的分量进行解调,提取故障特征频率。将该方法应用于实际滚动轴承滚动体点蚀故障诊断中,成功地提取出了故障特征频率。Aimed at the modulation characteristics of rolling bearing fault signals occurred, a fault diagnosis method was proposed based on ensemble local mean decomposition （ ELMD） and Teager energy operator demodulation. The vibration signal was decomposed by ELMD method to obtain a finite set of single-component modulation signals, and then the component including fault feature informa-tion was demodulated by using energy operator demodulation method to extract the fault feature frequency. This method is applied to di-agnose the actual gearbox bearing with rolling element fault of spot erosion, and the fault characteristic frequency is extracted success-fully.

关 键 词：总体局部均值分解 能量算子 解调 滚动轴承 

分 类 号：TN911.7[电子电信—通信与信息系统] TH133.3[电子电信—信息与通信工程]