声发射信号

基于多Agent的岩体声发射信号检测定位系统应用研究

Research and Application of Rock Acoustic Emission Signals Monitoring and Localization System Based on Multi-Agent Technology

DSP在声发射信号模式识别中的应用研究

Research on DSP Technology in Pattern Recognition of Acoustic Emission Signals

通过给BP神经网络输入声发射信号进行模式识别。

Inputting AE signal to BP nervous network carries out mode discrimination .

用声发射信号和改进的BP神经网络预测磨削表面粗糙度

Prediction of Grinding Surface Roughness with Acoustic Emission Signal and Modified BP Neural Network

基于MatlabGUI的声发射信号特征参数分析平台

The Analysis Platform for Characteristic Parameters of Acoustic Emission Signal Based on MATLAB GUI

基于AR模型的声发射信号到达时间自动识别

Automatic identification of arrival time of acoustic emission signal by means of AR model

金属裂纹声发射信号FIR滤波设计的滤波器参数设置方法

The Filter Parameters Set Method of FIR Filter Design for Metal Crack Acoustic Emission Signal

Gabor小波时频分析在声发射信号处理中的应用

Application of gabor wavelet time-frequency analysis in signal processing of acoustic emission

信号采集处理模块采集声发射信号，对其进行调理、AD转换成计算机可以处理的数字信号。

Signal collection handling modular collection AE signal , optimizing it , the AD Converter changing AE signal to the digital signal .

本文以DSP为核心处理器，CPLD为系统控制器，设计了一个脱机声发射信号采集处理系统。

Paper designs an AE signal collection and processing system based on DSP as the core processor and CPLD as the controller .

方法采用改进的周期图法、AR模型及小波变换方法，研究自发耳声发射信号的检测算法。

Method Improved periodogram ( Welch procedure ), AR model and Wavelet transform techniques were used to detect the Spontaneous otoacoustic emissions signal .

随后又对信号利用FFT变换出信号的频谱图，得出了在不同信号的特征频谱，由此推断声发射信号的峰值频率及特征频率。

Thirdly , concluded the different feature spectrum , and inferred the peak frequency of AE signals and characteristic frequency using FFT transform .

其中，DSP芯片主要负责采集和处理煤与瓦斯突出时发出的声发射信号，单片机则负责完成整个仪器的人机交互功能。

DSP is responsible for collecting and processing of the AE signals that emitted by coal and gas outburst , SCM is to accomplish the entire instrument interaction function .

针对突发型声发射信号的特点，提出采用AR模型确定声发射波的到达时间。

Then the AR model is employed to get the arriving time of acoustic emission wave based on the characteristic of burst acoustic emission signals .

最后将Hilbert-huang变换与独立分量分析相结合用于声发射信号的特征提取。

Finally , combining Hilbert-huang transformation and independent component analyzed acoustic emission signals for characteristic extraction .

结果表明：岩石压入硬度与声发射信号的积分RMS有最好的相关关系。

It is indicated that there is the best correlation between rock indentation hardness and integrated RMS of AE events .

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。

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 ) .

第一组实验探究塑性成形中的摩擦声发射信号是否存在Kaiser效应。

One experiment explored whether the Kaiser effect would exist in the friction of the plastic deformation course .

结果表明，探针与工件表面摩擦声发射信号的FFT和RMS特征与磨削粗糙度有很好的对应关系，可用于磨削表面粗糙度的在线检测。

The study results indicate that the FFT and RMS features of the acoustic emission signal generated by friction can be used to detect to the grinding roughness online .

利用Gabor小波变换方法对断铅声发射信号进行时频分析，通过确定某一频率下某一模态导波到达传感器的时间，较好地实现了声发射源定位。

By use of Gabor wavelet transform and MAE technologies , the arrived time to sensors of transient AE signals of specific guided mode can be precisely obtained .

对Hilbert-huang变换与其它传统时频分析方法用于仿真信号和实际声发射信号的特征提取的效果进行对比研究。

To compare Hilbert-huang transformation and other traditional time-frequency analysis methods which were applied to characteristic extraction of analogue signals and actual signals . 3 .

这些数据将作为BP神经网络的输入，由神经网络进行非线性映射，以确定声发射信号所反应的断裂力学特征量一应力强度因子幅度△K，最后根据Paris公式确定裂纹的的扩展速度及其尺寸。

The data are subsequently inputted into BP neural network to nonlinearly calculated the stress intensity factor range , represented by AE signals . Then the crack propagation rate and its size are calculated according to Paris formula of fracture mechanics .

通过对比分析，声发射信号特征参数能量、RMS、信号强度、绝对能量可作为优选参数对缸套-活塞环之间的润滑状态进行评价。

By comparison , AE parameters energy , RMS , signal strength and absolute energy can be chosen as the first preferences to evaluate lubrication condition between cylinder liner and piston ring .

通过实验选取声发射信号的均方根值、进给率f和修整深度h作为特征参数，并考虑各参数对金刚笔钝化状态的影响程度，选择初值化的数据处理方式，以提高识别的精确性。

Through experiments , the dressing depth , the feed rate and RMS were selected as the characteristic parameters , and considering effective degree of the characteristic parameters , the data processing method for initial value was selected so as to enhance the accuracy .

为此，通过AE检测系统来采集植物的生理信息，以DSP为核心对声发射信号进行监测和实时信号处理，然后对数据进行存储、输出以及查询，实现系统的自动控制。

This design can gather plant physiological information through AE detection system , monitor and treat sound emission signals using DSP as the core , then storage and output and inquiry data , in order to fulfill auto control .

SPCC钢的单向拉伸过程中的声发射信号幅度分布范围要大于摩擦过程的幅度分布范围。

The amplitude range of SPCC steel during uniaxial tension is greater than the process of dynamic friction .

PE/PE复合材料的拉伸破坏过程AE信号复杂，材料损伤破坏机制对声发射信号特征有显著的影响，不同破坏的信号在波形特征、频谱特征方面存在不同。

AE signals are complicated during the tension of PE / PE laminates and characteristic of acoustic emission signals are significantly influenced by damage mechanism . Damage signals were different in the character of waveform and spectrum .

在设计信号采集处理模块时，对声发射信号的特性进行了分析论证，根据具体要求，提出了模块的总体结构。设计了光电转换电路、放大电路、滤波电路、AD转换电路等。

When designing signal collection handling modular , we have analysed demonstration for the property of AE signal , based on technique demand , we put forward the overall structure of the modular and have designed photoelectric conversion circuit , enlarge circuit , filter circuit and AD conversion circuit .

研究结果表明，EME值随着加载时间的增加而增强，声发射信号也呈现同样的规律；

The research results show that : the intensities and pulse of EME and AE will increase with the increasing of loading time or stress and the enhancement of deformation and fracture ;

结果在特殊试样损伤类型与声发射信号事件振幅之间建立了对应关系，揭示了上述各种准各向同性层合板损伤扩展过程的AE特征与损伤破坏机制。

The correlations are established between the damage modes and acoustic emission events amplitude of special specimens which exhibit the dominant damage mecha-nisms . The AE characteristics of damage growth processes and the fracture mechanisms in UHMWPE / HDPE ( quasi-isotropic ) laminates are revealed .