摘要
在故障诊断中,故障通常表现为输出信号发生突变,因而对信号突变点的检测有非常重要的意义。小波分析是近年发展起来的一门新的数学理论和方法,它以其具备的时域和频域的局部特性,成为信号奇异性检测的重要工具。阐述了基于小波变换模极大值的信号奇异性检测原理,分析了信号奇异点的定位方法及奇异性程度的计算方法。仿真实验结果表明该方法是行之有效的。
In fault diagnosis research, the fault is usually accompanied with signal discontinuity. So it is great importance to detect the discontinuity of signal. The wavelet analysis is a novel mathematical theory developed in recent years. It is also a key method to solve this kind of problem because of the unique time - frequency localization characteristic. The theory of singularity detection based on wavelet transform modulus maximum is introduced, the methods about locating singularity points and computing their intensity are analyzed. The experimental results show that this method is very effective.
出处
《煤矿机械》
北大核心
2008年第8期188-190,共3页
Coal Mine Machinery
关键词
奇异性检测
小波变换
模极大值
李氏指数
singularity detection
wavelet transform
modulus maximum
Lipchstiz exponent
