新型木塑材料缺陷及损伤的声发射信号分析

综合新型木塑复合材料各类模式试样、源定位及信号的波形、常规参数、频谱、小波包最优树叶子节点能量谱等特征，对主损伤区附近的声发射事件，应用频谱分析和小波变换等信号处理手段提取特征参数，确定不同缺陷及损伤模式所对应的声发射特征信号，为日后进行神经网络模式识别奠定基础。由于新型木塑复合材料的声发射研究刚刚起步，对该材料的声发射特征还有待进一步的分析，常常需要借鉴其它复合材料的声发射检测结果，这势必会带来一定的局限性及适用性问题。对新型木塑复合材料的声发射参数的定量化还有待于大量实验数据的积累和归纳分析。

Characteristic analysis of acoustic emission signals from the flaw and damage of new type wood-plastic composites

Synthesizing all kinds of acoustic emission （AE） characteristics, such as mode samples, source location and signal waveform, general parameter, frequency spectrum, leaf node energy spectrum of the most excellent wavelet packet tree, the corresponding AE signals to different flaws and damages from main damage area of AE events are determined by using spectrum analysis, wavelet transform and other signal processing technique to extract characteristic parameters. These are the basis of pattern recognition with neural network in the near future. Due to AE study just now appearing for new type wood-plastic composites, the further analyses of AE characteristics need to be made, and the AE testing results from other composites need to be used for references, so some problems about localizability and applicability must be brought out. It is still necessary to have a lot of accumulating experiment data and concluding analyses for the quantification of AE characteristic parameters of new type wood-plastic composites.