The Study of Signal Denoising for Laser Cutting Based on Adaptive Wavelet Denoising

Abstract:

In order to reduce the noise of acquisition signal in laser cutting, an adaptive wavelet denoising method is proposed in this paper. Based on the analysis of the limitations of traditional threshold method, the particle swarm optimization algorithm is used to select the optimal threshold of wavelet. Compared with the commonly hard and soft threshold method, the experiment results show that the method used in this paper is relatively stable, and can reduce noise excellently. The method can provide more accurate signal for quality analysis in laser cutting .So the method can be used in noise denoising of pulse-induced acoustic sound.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 686-690
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.686
• Online since: July 2012
• Authors: Hui Juan Hao, Ji Yong Xu, Juan Li
• Keywords: Laser Cutting, Particle Swarm Optimization Algorithm (PSO), Pulse-Induced Acoustic Sound, Wavelet Denoising

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