Algorithm Considering Signal Correlation for Denoising of the Magnetic Flux Leakage of Wire Rope
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.
Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu
W. X. Zhan et al., "Algorithm Considering Signal Correlation for Denoising of the Magnetic Flux Leakage of Wire Rope", Advanced Materials Research, Vols. 291-294, pp. 2652-2657, 2011