期刊
SENSORS
卷 12, 期 8, 页码 11205-11220出版社
MDPI
DOI: 10.3390/s120811205
关键词
vibration testing; wavelet transform (WT); denoise; wavelet thresholding; sigmoid function
资金
- Science Fund for Creative Research Groups of the National Natural Science Foundation of China [51121005]
- National Natural Science Foundation of China [51178083]
- Program for New Century Excellent Talents in University [NCET-10-0287]
- Natural Science Foundation of Liaoning Province of China [201102030]
In structural vibration tests, one of the main factors which disturb the reliability and accuracy of the results are the noise signals encountered. To overcome this deficiency, this paper presents a discrete wavelet transform (DWT) approach to denoise the measured signals. The denoising performance of DWT is discussed by several processing parameters, including the type of wavelet, decomposition level, thresholding method, and threshold selection rules. To overcome the disadvantages of the traditional hard- and soft-thresholding methods, an improved thresholding technique called the sigmoid function-based thresholding scheme is presented. The procedure is validated by using four benchmarks signals with three degrees of degradation as well as a real measured signal obtained from a three-story reinforced concrete scale model shaking table experiment. The performance of the proposed method is evaluated by computing the signal-to-noise ratio (SNR) and the root-mean-square error (RMSE) after denoising. Results reveal that the proposed method offers superior performance than the traditional methods no matter whether the signals have heavy or light noises embedded.
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