小波及数字滤波器在故障信号处理中的技术研究  

Study on the Algorithm of Wavelet and Digital Filter in Fault Signal Processing

作　　者：刘传起[1] 王雪梅[1] 苏涛[1] 

机构地区：[1]第二炮兵工程学院,陕西西安710025

出　　处：《现代电子技术》2009年第23期107-109,共3页Modern Electronics Technique

摘　　要：选取频率突变和幅值突变仿真故障数据,分别采用小波分解和数字滤波的方法进行处理。结果表明,小波分解在时域和频域的信号处理,可提供丰富的信息,使故障的定位及判别更加准确;数字滤波器在时域内对故障数据进行处理,结果较为直观。Frequency saltation and scope saltation are chosen to simulate the fault signal, which is processed with the algorithm of wavelet and digital filter. The consequence shows that the wavelet algorithm supplies enormous information both in the time and frequency scope which makes the fault orientation correct,and the digital filter is more intuitionistic.

关 键 词：小波分解 数字滤波器 故障定位 频率突变 幅值突变 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]