Deformation Analysis of Dam with the Improved Wavelet Threshold

Abstract:

This paper introduces the traditional soft and hard threshold wavelet denoising and its improved algorithm,and denoise a dam’s deformation data with MATLAB programming. Compared with previous methods, the improved algorithm improves the de-noising effect quite a lot, the RMSE is obviously decreased while the signal-to-noise is obviously increased,the improved algorithm’s comprehensive precision is higher. Finally,we made a prediction for the results of improved threshold function wavelet de-noising with the use of Kalman filter model and got a good prediction effect,demonstrates that the improved method is an effective denoising method,and shows certain superiority through comparison.

• Periodical: Applied Mechanics and Materials (Volumes 599-601)
• Pages: 242-247
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.599-601.242
• Online since: August 2014
• Authors: Hong Yan Wen, Ming Yue Yuan*, Ji Yuan Hu, Lv Zhou
• Keywords: Deformation, Denoising, Kalman Filter, Threshold Value, Wavelet

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