小波滤波在小故障检测中的应用

Application of wavelet filtering to small fault detection

为了提高小故障检测能力,对基于主成分分析的方法进行了改进,用小波滤波法对数据进行过滤。实验表明,小波滤波法能提高小故障的检测能力,而且与指数权重滑动平均滤波法相比更具有故障检测的及时性。

Improves the fault detection method based on principal component analysis （PCA） by adopting wavelet filtering, Experiments show that wavelet filtering can enhance the small fault detection capacity and detect more timely compared with exponentially weighted moving average （EWMA） filter.