Generation of Non-Gaussian Random Vibration Excitation Signal for Reliability Enhancement Test

During environment testing, the time histories of some dynamic environments follow non-Gaussian distribution. It is always assumed that the random vibration simulated follows Gaussian distribution, because the traditional digital random vibration control system can only supply the random vibration excitation signal of Gaussian. Yo simulate the real environment of product, a method is developed in this paper that can generate non-Gaussian random signal with specified power spectrum density （PSD）, skewness and kurtosis by shot noise. In this way, non-Gaussian random vibration can be produced on traditional electrodynamic shaker. It solves the problems of spectral valley and energy shortage in low frequency on omni-axis shaker. At last, the wavelet is used to analyze the non-Gaussian signal     

基于小波变换的图像融合增强算法

针对当前高速摄影系统不能保证采集的高帧频图像中所有目标物体聚焦清晰的特点,提出了一种基于小波变换的图像融合算法,对快速小波变换后得到的低频系数与高频系数采用一种改进型的融合规则进行算法仿真实验,并与传统的图像融合规则对比分析。     

基于人工黏性的二维激波小波多尺度数值计算

基于自适应小波配点法和人工黏性，构造了二维激波问题的小波数值计算格式。利用最细尺度的小波系数构造两组激波定位函数，分别用以控制两个正交方向人工黏性的大小和分布。对三类二维激波问题进行计算和验证，结果表明：自适应小波配点法利用小波阈值滤波删除变化平缓区域大量网格点，而保留变化急剧区域的网格点，比传统方法计算效率高，且分辨率越高，计算效率更高；利用最细层小波系数构建的幂函数形式的激波定位函数能准确判断激波位置和控制X、Y方向人工黏性的大小和分布，从而捕捉不同方向和不同强度的激波。     

A pre-generated matrix-based method for real-time robotic drilling chatter monitoring

Currently, due to the detrimental effects on surface finish and machining system, chatter has been one crucial factor restricting robotic drilling operations, which improve both quality and efficiency of aviation manufacturing. Based on the matrix notch filter and fast wavelet packet decomposition, this paper presents a novel pre-generated matrix-based real-time chatter monitoring method for robotic drilling. Taking vibration characteristics of robotic drilling into account, the matrix notch filter is designed to eliminate the interference of spindle-related components on the measured vibration signal. Then, the fast wavelet packet decomposition is presented to decompose the filtered signal into several equidistant frequency bands, and the energy of each sub-band is obtained. Finally, the energy entropy which characterizes inhomogeneity of energy distribution is utilized as the feature to recognize chatter on-line, and the effectiveness of the presented algorithm is validated by extensive experimental data. The results show that the proposed algorithm can effectively detect chatter before it is fully developed. Moreover, since both filtering and decomposition of signal are implemented by the pre-generated matrices, calculation for an energy entropy of vibration signal with 512 samples takes only about 0.690 ms. Consequently, the proposed method achieves real-time chatter monitoring for robotic drilling, which is essential for subsequent chatter suppression.     

基于PSO-RWE的自适应小波阈值函数滚动轴承振动信号去噪方法

针对现有小波去噪方法存在阈值函数中未知参数选取依赖经验,导致去噪不充分或去噪后信号失真的问题。提出了一种基于相对小波熵(RWE)的粒子群优化(PSO)算法,用于小波阈值函数中未知参数的自适应寻优,达到滚动轴承振动信号自适应降噪目的。改进了一种含两未知参数的小波阈值函数;以相对小波熵为优化算法的适应度函数对未知参数进行自适应寻优,得到最优小波阈值函数;通过对模拟仿真信号和试验采集的滚动轴承振动信号进行分析。结果表明:优化后的小波去噪方法能够更好地将噪声从染噪信号中滤除,去噪后信号波形的平滑度更好,信噪比相较硬阈值去噪提高294%,而且保留了原始信号更多的细节特征,具有更好的去噪性能和应用实用价值。     

基于正交小波变换的目标检测方法

理论分析表明,独立高斯噪声经过正交小波变换后保持方差和独立性不变。基于Mallat的小波多分辨分析,通过对小波系数进行平方律处理,建立了基于正交小波变换的恒虚警率检测器模型,推导了相应的虚警和检测概率公式,分析了噪声未知情况下小波系数序列长度对检测性能的影响,并给出了合适的长度值。实验结果表明,所提出的检测器能满足不同虚警概率和杂波背景的要求,具有较好自适应性。     

基于离散小波变换的航迹关联算法研究

本文基于1-D离散小波变换(DWT)提出了一种航迹-航迹关联算法。由于目标航迹数据是非平稳随机序列,因此采用离散小波变换方法分析,利用基于F分布的假设检验模型来描述小波分解高频小波空间与低频尺度空间能量的比率,结合"去相关"方法分别讨论了航迹相关与无关的情形,并给出了一种仿真方法。仿真结果表明算法的有效性和在分辨两条相近航迹方面的优越性。     

基于小波分析的机场道面平整度细节研究

采用小波理论对机场刚性跑道平整度进行分析。针对某机场道面,采用Matlab对其纵断面信号进行小波变换分解,得到不同高频下机场刚性道面纵断面长波和短波的具体波动幅度和位置,可作为国际平整度IRI的一种补充,为航空器-机场道面相互作用动力学分析创造条件。     

基于小波分析的信号滤波方法研究

设计了模拟温度信号的数据采集系统,采集了温度信号T．分别利用最小二乘平滑滤波方法和小波变换滤波方法对传感器输出的原始温度信号T进行滤波,通过对比滤波后波形和残差体现了小波分析在信号滤波应用中的优越性。     

基于小波分析的氢涡轮泵低温轴承保持架故障特征辨识

提出了小波分析与短时傅立叶分析相结合的方法来分析处理滚动轴承的振动信号,提取对应于轴承保持架的特定频率成分有助于准确地判断轴承保持架的健康状况.研究结果表明,在氢涡轮泵低温轴承保持架故障特征辨识中,综合利用小波分析与短时傅立叶分析能够更形象、更直观地识别出特定的频率成分.