Application of Adaptive Wavelet Thresholding Algorithm in Mould Friction Signal Denoising

2011 ◽  
Author(s):  
Hong-jun Wang ◽  
Xiang-fei Si ◽  
Zhuo-qun Zhao
Keyword(s):  
Signal Denoising ◽  
Wavelet Thresholding ◽  
Adaptive Wavelet ◽  
Mould Friction ◽  
Thresholding Algorithm

Application of Adaptive Wavelet Thresholding to Ultrasonic Signal Compression of Aluminum Alloy Forgings

2013 ◽  
Vol 658 ◽  
pp. 89-92
Author(s):  
Shou Shan Liu ◽  
Chuan Jiang Wang ◽  
Li Jun Bi ◽  
Chang Zhi Lv
Keyword(s):  
Aluminum Alloy ◽  
Ultrasonic Signal ◽  
Wavelet Thresholding ◽  
Signal Compression ◽  
Hard Thresholding ◽  
Coherent Noise ◽  
Adaptive Wavelet ◽  
Effective Signal ◽  
Thresholding Algorithm ◽  
The Mathematical Model

In this paper, for the purpose of ultrasonic signal compression and the coherent noise depressing in nondestructive test of aluminum alloy forging, the mathematical model of defect echoes is discussed and confirmed. And then the wavelet kernel is also confirmed according the waveform of the defect echoes. As the algorithms of standard hard thresholding and soft thresholding of wavelet transform can not bring out effective compression and depression to the coherent noise, an adaptive wavelet thresholding algorithm is introduced. Experimental results indicate that the adaptive wavelet thresholding algorithm can offer effective signal compression and depression to the coherent noise.

scholarly journals Partial discharge signal denoising with spatially adaptive wavelet thresholding and support vector machines

2011 ◽  
Vol 81 (2) ◽  
pp. 644-659 ◽  
Author(s):  
Hilton de Oliveira Mota ◽  
Leonardo Chaves Dutra da Rocha ◽  
Thiago Cunha de Moura Salles ◽  
Flávio Henrique Vasconcelos
Keyword(s):  
Support Vector Machines ◽  
Partial Discharge ◽  
Support Vector ◽  
Signal Denoising ◽  
Wavelet Thresholding ◽  
Adaptive Wavelet ◽  
Spatially Adaptive ◽  
Vector Machines
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