Acoustic Emission Testing Research of Composites Bearing Based on Neural Network

摘要：

This paper will apply the Acoustic Emission(AE) technique principle to detect the AE signals of the three-dimensional braided composites under tension and compression test mode and apply wavelet analysis to reduce the AE signal noise. The filtered AE waveform or waveform parameters will be treated as a sample to be input to Back Propagation(BP) neural network, after the training, BP neural network will automatically identify the load bearing of threedimensional braided composite materials and its corresponding damage model.

关键词： three-dimensional braided composites AE wavelet analysis BP neural network load bearing damage model

作者: Wang Jianing Wan Zhenkai

作者单位: Computer Technology and Software Department Tianjin Polytechnic University Tianjin, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 165-168

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）