Algorithm Considering Signal Correlation for Denoising of the Magnetic Flux Leakage of Wire Rope
首发时间:2012-01-19
Abstract:In order to suppress the noise in the magnetic flux leakage, the algorithm considering signal correlation, in which an optimal predictor and an optimal updater were chosen for every sample at all scales according to the magnitude of the correlation coefficient, was proposed. So the wavelets obtained through designing predictor and updater can perfectly fit the local features of signal. The actually processing effect of the simulation and the magnetic flux leakage signal of damage in wire rope show that the proposed method, compared with the classical wavelet, can effectively remove noise in original signal and principally retain the local features of the original signal.
keywords: Lifting Wavelet Magnetic Flux Leakage Signal Autocorrelation Coefficient Denoising
点击查看论文中文信息
Algorithm Considering Signal Correlation for Denoising of the Magnetic Flux Leakage of Wire Rope
摘要:In order to suppress the noise in the magnetic flux leakage, the algorithm considering signal correlation, in which an optimal predictor and an optimal updater were chosen for every sample at all scales according to the magnitude of the correlation coefficient, was proposed. So the wavelets obtained through designing predictor and updater can perfectly fit the local features of signal. The actually processing effect of the simulation and the magnetic flux leakage signal of damage in wire rope show that the proposed method, compared with the classical wavelet, can effectively remove noise in original signal and principally retain the local features of the original signal.
关键词: Lifting Wavelet; Magnetic Flux Leakage Signal; Autocorrelation Coefficient; Denoising
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
Algorithm Considering Signal Correlation for Denoising of the Magnetic Flux Leakage of Wire Rope
评论
全部评论0/1000