When using acoustic emission to locate the friction fault source of rotating machinery, the effects of strong noise and waveform distortion make accurate locating difficult. Applying neural network for acoustic emission source location could be helpful. In the BP Wavelet Neural Network, BP is a local search algorithm, which falls into local minimum easily. The probability of successful search is low. We used Shuffled Frog Leaping Algorithm (SFLA) to optimize the parameters of the Wavelet Neural Network, and the optimized Wavelet Neural Network to locate the source. After having performed the experiments of friction acoustic emission's source location on the rotor friction test machine, the results show that the calculation of SFLA is simple and effective, and that locating is accurate with proper structure of the network and input parameters.

Accepted:

Published online:

Xinmin Cheng ^{1};
Xiaodan Zhang ^{2};
Li Zhao ^{2};
Aideng Deng ^{2};
Yongqiang Bao ^{2};
Yong Liu ^{3};
Yunliang Jiang ^{1}

@article{CRMECA_2014__342_4_229_0, author = {Xinmin Cheng and Xiaodan Zhang and Li Zhao and Aideng Deng and Yongqiang Bao and Yong Liu and Yunliang Jiang}, title = {The application of {Shuffled} {Frog} {Leaping} {Algorithm} to {Wavelet} {Neural} {Networks} for acoustic emission source location}, journal = {Comptes Rendus. M\'ecanique}, pages = {229--233}, publisher = {Elsevier}, volume = {342}, number = {4}, year = {2014}, doi = {10.1016/j.crme.2013.12.006}, language = {en}, }

TY - JOUR AU - Xinmin Cheng AU - Xiaodan Zhang AU - Li Zhao AU - Aideng Deng AU - Yongqiang Bao AU - Yong Liu AU - Yunliang Jiang TI - The application of Shuffled Frog Leaping Algorithm to Wavelet Neural Networks for acoustic emission source location JO - Comptes Rendus. Mécanique PY - 2014 SP - 229 EP - 233 VL - 342 IS - 4 PB - Elsevier DO - 10.1016/j.crme.2013.12.006 LA - en ID - CRMECA_2014__342_4_229_0 ER -

%0 Journal Article %A Xinmin Cheng %A Xiaodan Zhang %A Li Zhao %A Aideng Deng %A Yongqiang Bao %A Yong Liu %A Yunliang Jiang %T The application of Shuffled Frog Leaping Algorithm to Wavelet Neural Networks for acoustic emission source location %J Comptes Rendus. Mécanique %D 2014 %P 229-233 %V 342 %N 4 %I Elsevier %R 10.1016/j.crme.2013.12.006 %G en %F CRMECA_2014__342_4_229_0

Xinmin Cheng; Xiaodan Zhang; Li Zhao; Aideng Deng; Yongqiang Bao; Yong Liu; Yunliang Jiang. The application of Shuffled Frog Leaping Algorithm to Wavelet Neural Networks for acoustic emission source location. Comptes Rendus. Mécanique, Volume 342 (2014) no. 4, pp. 229-233. doi : 10.1016/j.crme.2013.12.006. https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.1016/j.crme.2013.12.006/

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