摘要
在分析 FFT及小波变换的基本性质和特点的基础上 ,探讨利用小波变换识别信号的奇异性以提取故障特征信息的方法。实例证明 ,小波变换能有效地实现信噪分离 。
Based on the contrasting of the basic characteristics between FFT and wavelet transforms, this paper studies on the method about getting the fault information by the strangeness of the signals identified by wavelets. An example presents that the wavelet transforms can not only denoise effectively, but also reflect the time when the fault appears.
基金
国家九五攻关项目 !(97- 559- 0 3- 0 1 )
