一种基于冗余小波变换等效功率谱的故障特征提取方法  

Fault Feature Extraction Method of Equivalent Power Spectrum Based on Redundancy Wavelet Transform

作　　者：许允之[1] 杨佳彬[1] 仝年 秦英达 李保中[3] 

机构地区：[1]中国矿业大学电气与动力工程学院,江苏徐州221116 [2]华北电力大学电气与电子工程学院,河北保定071003 [3]中国矿业大学后勤管理处,江苏徐州221116

出　　处：《煤矿机电》2017年第2期25-27,32,共4页Colliery Mechanical & Electrical Technology

摘　　要：提出一种基于冗余小波变换等效功率谱的故障特征提取方法,该冗余小波具有平移不变性,将信号分解之后得到的子信号与原信号具有相同的长度,即信息是冗余的,这种冗余信息能更加丰富地反映出其中微弱的分量。通过试验证明,利用冗余小波对转子断条故障定子电流信号进行分析,能有效地提取出其中的故障征频率分量。Proposes a method of fault feature extraction based on the redundancy wavelet transform equivalent power spectrum. The redundant wavelet has shift invariance. After the signal is decomposed, then gets the sub- signal with the same length of the original signal, which means the information is redundant. On the contrary, more abundant information can reflect the weak component. It is proved that the fault frequency components of the fault can be extracted effectively by using the redundant wavelet analysis of the stator current signal of the broken rotor bar.

关 键 词：故障诊断 小波变换 冗余小波变换 

分 类 号：TM343.2[电气工程—电机] TP277.3[自动化与计算机技术—检测技术与自动化装置]