瞬时功率小波包分解法在轴承故障诊断中的应用  

Application of Instantaneous Power Decomposition via Wavelet Packet in Bearing Fault Diagnosis

作　　者：王轩[1] 王莉[1] 魏蔚[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《轴承》2010年第10期41-44,共4页Bearing

摘　　要：针对感应电动机轴承故障特征提取的不足,提出了瞬时功率小波包分解的方法。分析电动机单相瞬时功率,发现瞬时功率中故障信息更为丰富,且对故障特征干扰较大的基波可转化为直流分量;滤波后,进行小波包分解,求取故障特征对应子频带小波包分解系数的均方根值及其变换率,并用以表征故障特征,以此作为轴承故障的依据。仿真表明该方法诊断灵敏度高,可用于感应电动机轴承的故障诊断。To solve the problem in obtaining bearing fault characteristics of induction motors,a method based on instantaneous power decomposition via wavelet packet is put forward.The single-phase instantaneous power of motor is analyzed,the fundamental component transforms into the DC part in the instantaneous power,and the bearing fault message is more obvious.Decompose the signal by wavelet packet after it is filtered.The root mean square of the node coefficients and its change rate used as the symptom of bearing fault is calculated.The simulation shows that the method is preponderant with abundant fault information and high diagnosis-sensitivity.Therefore,this method is feasible to be used in induction motor bearing fault diagnosis.

关 键 词：感应电动机 滚动轴承 故障诊断 瞬时功率 小波包分解 

分 类 号：TH133.33[机械工程—机械制造及自动化] TN911.7[电子电信—通信与信息系统]