Multi-faults diagnosis of rolling bearings via adaptive customization of flexible analytical wavelet bases

Multi-faults detection is a challenge for rolling bearings due to the mode mixture and coupling of multiple fault features, as well as its easy burying in the complex, non-stationary structural vibrations and strong background noises. In this paper, a method based on the flexible analytical wavelet transform (FAWT) possessing fractional scaling and translation factors is proposed to identify multiple faults occurred in different components of rolling bearings. During the route of the proposed method, the proper FAWT bases are constructed via genetic optimization algorithm (GA) based on maximizing the spectral correlated kurtosis (SCK) which is firstly presented and proved to be efficient and effective in indicating interested fault mode. Via using the customized FAWT bases for each interested fault mode, the original vibration measurements are decomposed into fine frequency subbands, and the sensitive subband which enhances the signal-to-noise ratio (SNR) is selected to exhibit the fault signature on its envelope spectrum. The proposed method is tested via simulated signals, and applied to analyze the experimental vibration measurements from the running roller bearings subjected to outrace, inner-race and roller defects. The analysis results validate the effectiveness of the proposed method in identifying multi-faults occurred in different components of rolling bearings.     

Phase coherence of foreshock MHD waves: wavelet analysis

The earth's foreshock is a region where particularly large amplitude MHD waves are commonly observed. They exhibit various waveforms, suggesting that nonlinear interaction between the waves is in progress. In a previous paper (Hada et al., 2003) we have introduced a method to quantitatively evaluate the strength of phase coherence among the waves from a given time series data. Here we further develop our method by applying wavelet filtering technique. From the analysis it was found that, although the turbulence is consisted of waves with a wide range of plasma rest frame frequencies, only those frequencies lower than the ion gyrofrequency are responsible for generating the phase coherence. This revised version was published online in August 2006 with corrections to the Cover Date.     

基于小波变换的图像低通去噪

提出了一种利用小波变换的多分辨率特性对图像进行低通去噪的方法,系统的阐述了其基本原理和核心算法,并对加噪后的图像实现了低通去噪处理。     

一种可抑制三次谐波的五相混合式步进电机空间矢量脉宽调制优化控制策略

五相混合式步进电机因其定位精度高、转矩脉动小以及转矩密度高等优点而应用愈加广泛。为进一步减小其运行噪声、提高系统整体效率,本文提出一种可抑制三次谐波的五相混合式步进电机空间矢量脉宽调制(Space vector pulse width modulation,SVPWM)优化控制策略。首先搭建了考虑互感条件下的五相混合式步进电机解耦控制数学模型。在此基础上,采用相邻两大矢量和两中矢量合成混合电压矢量的SVPWM控制策略,并给出了相应的五相混合式步进电机双闭环控制系统。本文所提的混合SVPWM算法通过利用大、中矢量在基波、三次谐波双坐标系对应关系以达到抑制三次谐波的效果,能够有效降低相电流纹波和谐波含量。最后,研制了一套基于FPGA的实验平台,对所提策略与传统滞环算法、大矢量SVPWM算法进行对比研究,重点分析了3种算法对相电流纹波和谐波含量的影响,从而验证了所提算法的正确性和优越性。     

子波变换在实验流体力学中的应用

介绍了子波分析的历史、基本知识以及在实验流体力学方面的应用。讨论了子波变换在客观辨识湍流边界层相干结构方面的应用。作者用子波变换的方法提出了确定湍流边界层相干结构挥发时间尺度的能量最大准则，提取了相干结构对应的速度信号波形。用于波变换研究了湍流边界层脉动速度信号的局部奇异性行为，发现相干结构发生处脉动速度信号的局部奇异性指数为负值。     

导弹发射装置的总体设计方法

Anew method in system design of ejecting devices of missiles is first presented.Some important points are dis-cussed,which guid the research and development of new ejecting devices of missileg,amd provid the foundation flr thw design of mew ejecting device is provided.The system design includes the distribution of techmology specifica-tion,3-D solid modeling of ejecting devices of missiles im-ported from abroad,the design of pmeumatic device sys-tem,the design of ejecting mechanism system,the predic-tion of reliability and the experimental analysis,etc.     

一种功率因数校正电路的分析与实现

介绍了一种用普通开关电源专用集成电路控制块作为控制电路，以升压式变换器作为功率电路的功率因数校正电路。该电路的输出直流电压经采样、误差放大作为电流基准，将Ｂｏｏｓｔ功率开关电流与电流基准比较，当功率开关电流瞬时值小于电流基准时，用专用ＩＣ发出的给定宽度脉冲驱动功率开关；反之，将提前关断功率开关。当负载变化时，电流基准也变化，从而保证了输入电流波形跟踪输入电压波形和输出电压的稳定。本文提出了该电路输入电流的计算方法，编制了分析程序，分析了输入电流的谐波含量，并计算了电路的输入功率因数。得出了在占空度为０．５时获得最大功率因数的条件，提出了获得最大功率因数时电路参数选择的一般原则。同时指出了该电路符合ＩＥＣ５５５－２标准的功率范围。     

高压输电网设计中的二阶非线性方程的次谐波分枝

本文用Melnikov方法研究高压输电网设计中提出的非线性二阶受迫振动方程的次谐波分枝,分析了系统可能出现次谐解的条件和参数区域,以此为工程应用提供参考。     

构件裂纹缺陷的超声识别

将小波包多分辨率分析与能量谱相结合,提出了金属材料缺陷特征提取的方法(小波包子带能量比较法)及不同缺陷的识别方法(小波分形神经网络法)。选取最能反映缺陷特征的参数——"能量特征向量"作为特征参数,进行缺陷的特征提取。缺陷的识别方法将小波包分解后各子带系数的分形维数作为特征矢量,对其进行径向基神经网络训练,从而可很明显区分出有无裂纹以及不同裂纹信号。以航天发射塔架钢连接构件疲劳裂纹超声检测信号为例,使用所提出的特征提取和模式识别方法,结果表明是行之有效的新方法,为金属材料缺陷检测与识别开拓了新思路。     

量子力学中的Heisenberg测不准原理的数学推导以及在小波分析中的应用

从傅里叶变换的定义出发,利用时变信号的短时傅里叶变换,推导出量子力学中的Heisenberg测不准原理,说明了两者之间存在这种联系的必然性,并给出了测不准原理在小波分析中的应用举例。