The application of Shuffled Frog Leaping Algorithm to Wavelet Neural Networks for acoustic emission source location

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 loca...

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Veröffentlicht in:	Comptes rendus. Mecanique 2014-04, Vol.342 (4), p.229-233
Hauptverfasser:	Cheng, Xinmin, Zhang, Xiaodan, Zhao, Li, Deng, Aideng, Bao, Yongqiang, Liu, Yong, Jiang, Yunliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic emission Algorithms Friction Frogs Location Neural networks Pollution sources Position (location) Shuffled Frog Leaping Algorithm Wavelet Wavelet Neural Network
Online-Zugang:	Volltext
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