摘要
在故障诊断中,故障通常表现为输出信号发生突变,因而对突变点的检测有非常重要的意义。鉴于传统信号处理方法的局限性,小波分析以其具备时频局部特性,成为解决此类问题的一个重要方法。推导了小波分析与奇异信号检测的之间的关系,并对某压力传感器的信号进行了奇异值的检测。
In fault diagnosis research, the fault is usually accompanied with signal discontinuity. So it is of great importance to detect the signal discontinuity. The wavelet analysis is a key method to solve this kind of the problem because of its unique time-frequency localization characteristic, compared with traditional methods. The relationship between wavelet analysis and singular signal detecting is deduced, and the example of a pressure sensor singular signal detecting is presented.
出处
《测控技术》
CSCD
2006年第4期17-19,共3页
Measurement & Control Technology
基金
武器装备预研基金资助项目(51417010301HK6402)
关键词
小波分析
奇异信号
检测
故障诊断
wavelet analysis
singular signal
detecting
fault diagnosis
