Application of Adaptive Wavelet Thresholding Algorithm in Mould Friction Signal Denoising

The noise always affects the accuracy result of the abrupt breakout signal, during the analysis of mould friction signal of continuous slab casting. The traditional signal de-noising method makes the signal´s edges information ambiguous as reduce the noise, and which leads to signal´s partly distortion. In this paper, based on wavelet threshold de-noising, proposed by Dohono, using an adaptive wavelet threshold to the separation of signal and noise, experiments show that the adaptive wavelet threshold method can well remove the noise, the new method can improve signal-to-noise ratio. Furthermore, the integrity of the detail information still well guaranteed at the same time.