The processing of ae signals is vital important to ae technique , and the scholars in this field have been engaged in studying the rational and effective analysis method of ae signals , but the situation is n ' t optimistic 声发射信号处理对声发射技术至关重要，在此领域的学者一直致力于研究开发合理而有效的声发射信号处理方法，但目前仍面临许多亟待解决的问题。
Ae signals released from different lay - ups composite specimens were acquired by a wideband transducer , and fracture surfaces of the specimens were observed by scanning electron microscope ( sem ) 宽带传感器记录了不同角度纤维铺层的复合材料试样在拉伸破坏过程中的声发射信号，用扫描电子显微镜( sem )观察了试样的几种典型的损伤破坏断面，对比分析了不同类型的损伤机制。
According to the characteristic of the wavelet analysis , a feasibility study is carried out on the basis of using the wavelet transform to process the actual collected signals with daubechies wavelet , and the ae signals are divided 根据小波分析的特点，本文对小波变换用于实际信号处理进行了可行性研究，选择debauchies小波对采集的数据信号进行小波变换，提取声发射信号。
Acoustic emission signal processing is the only effective method to acquire the acoustic emission source information by now and the integrated platform for signal processing became more important for the engineering application of acoustic emission technique 对声发射信号进行分析与处理是目前获取声发射源信息的唯一有效途径，因此集成化的信号处理平台是声发射检测技术工程应用的重要组成部分。
On the basis of the theory of fractal geometry , the fractal dimension characters of ae signal at different tool wear states were analyzed , an algorithm was provided to decide the scale range which is necessary to calculate the dimension of non - fully - fractal form . the experiments showed that the fractal dimension of ae signal is slightly effected by the changes of cutting parameters ; the variance of the fractal dimensions , which reflects the geometric characters of ae signals , has the same tendency as that of the flank wear , the monitoring system , which takes the fractal dimension of the ae signal as the feature , can identify the different tool wear states more correctly under different cutting conditions 以分形几何理论为基础，对刀具不同磨损阶段声发射信号的分形特征进行分析.提出了计算非完全分形体信号波形的关联维数时尺度范围的确定方法，分析了声发射信号在刀具磨损过程中分形维数的变化特性.刀具磨损切削实验数据表明，声发射信号的分形维数受切削参数变化影响较小；分形维数反映了声发射信号的几何特征，其大小能较好地反映刀具的不同磨损状态.实验结果表明，该方法能正确地实时在线监测刀具的不同磨损状态
By the result of these experiments , acoustic emission ( ae ) was chosen to use in the research . at the same time , we analyse the phenomenon of acoustic emission at the base of theory , the characteristic signal of acoustic emission which comes from the faulty bearing at the angle of application , and the expression of the characteristic signal . contrast was also made on the data achieved separately from vibrational signal and ae signal , and it is proved that ae is feasible and available to the diagnosis to the fault of the rolling bearing 主要工作有如下几方面：对本段前期实验室阶段采用的振动法幅值域无量纲处理进行了分析，并研制了现场所使用的滚动轴承故障检测装置，将无量纲参数诊断法应用于段修现场，且做了大量试验；对于现场试验中所出现的问题进行了分析，提出将声发射的方法用于轴承的在线故障诊断；从理论上分析了声发射现象，从应用的角度分析故障轴承的声发射信号的特征以及声发射信号特征的表示方法，并在实验室中，采用振动法和声发射法实时检测的实验数据进行了对比和分析，证明了使用声发射法对轴承故障检测的可行性和有效性。
Aiming at the shortcoming of the products for signal processing platform developed by foreign companies and the domestic status of related research , an integrated platform for acoustic emission signal processing based on wavelet analysis and neural network has been developed in the thesis 针对目前国外已推出的信号处理平台存在的不足以及国内在这方面研究空白的现状，本文提出及开发了一种以小波分析及人工神经网络为主要信号处理和模式识别方法的集成化声发射信号处理平台。
As result , a new method is presented by using the acoustic emission ( ae ) signal from stem of individual plant as its demand information . based on virtual instruments technique , which is becoming a popular tool in measurement and automation fields international , a computer - based detecting system is developed for the fast , real - time measurement . take tomato crops for testing example in greenhouse , the relation between ae and transpiration , environmental factors has been studied 因此，从植物本身出发，本文在国内首次采用了以植株茎部声发射信号作为农作物需水信息的新方法，运用目前在测控领域国际流行的虚拟仪器技术，建立了对作物植株茎部声发射信息进行实时、快速测量的微机检测系统，并以温室盆栽番茄为对象，研究了声发射信息同植物蒸腾以及环境因子间的关系。
Compact in configuration , mightiness in function , convenience in manipulate and high resolution , high efficiency , low cost are all the characteristics of this instrument . in the end , we give a brief introduce about some common analysis methods on oae signal . and lay a emphasis on wavelet and improved wigner - vill used in the analysis of soae and teoae , comparing with the tradition method , these new time - frequent methods have better time - frequent characteristic , are fitter for the oae signals 最后，该文分别对耳声发射信号的常用分析方法进行了介绍，并重点介绍了用小波变换、改进的维格纳分布等方法分别对soae信号、 teoae信号进行分析的情况，与传统的处理方法相比较，时频分析方法由于具有较好的时频分辨率，更适合于耳声发射信号的分析。
