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Application of self-adaptive wavelet neural networks in ultrasonic detecting of drainpipe

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4 Author(s)
Xi-Peng Yin ; Department of Electronic Engineering, Northwestern Polytechnical University, NPU, Xi'an, Shaanxi, China ; Yang-Yu Fan ; Zhe-Min Duan ; Wei Cheng

Drainpipe ultrasonic non-destructive testing is liable to be interfered with the external environment. So it is important to remove the noise signal effectively in drainpipe ultrasonic non-destructive testing. The testing system is constructed by self-adaptive wavelet neural networks which is using the wavelet and neural network algorithm. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimizing the scale parameter. The simulation results showed less distortion and better noise cancellation.

Published in:

Advanced Computer Control (ICACC), 2010 2nd International Conference on  (Volume:5 )

Date of Conference:

27-29 March 2010