基于连续小波变换的电能质量测量与分类

提出了用连续小波变换CWT(Continuous Wavelet Transform)实现对短时电能质量SDPQD(Short Duration Power Quality Disturbances)检测与分类的新方法。该方法弥补了离散小波难以对谐波精确检测的缺点,通过计算小波系数的能量分布曲线,有效地区分出谐波(可以同时存在多种,包括分数次谐波)、暂态振荡、暂态脉冲、电压凹陷、电压凸起及电压间断等各种扰动,并能实现扰动的各项指标测定。在测定电压扰动幅度方面,提出了使用基于小波变换系数的电压扰动幅度确定法则。仿真结果表明,该方法对电能质量各种扰动分类有效,特别是对谐波检测及电压扰动幅度定位准确、快速,是一种综合性强、实用性好的检测方法。     

600MW超临界机组给水联合处理应用分析

对600MW超临界机组给水全挥发处理（AVT）和给水联合处理（CWT）原理和安全经济性进行比较,分析得出给水CWT在热力系统防腐防垢,提高机组的安全和经济性方面有着明显的优势。     

横焊缝跟踪模型在HFW焊管孔型切换过程中的应用

为了实现HFW焊管换规格过程中辊位自动调整到目标位,有效降低板料损失,宝山钢铁股份有限公司自主开发了横焊缝跟踪（CWT）模型。介绍了该模型的原理、辊位自动调整的参数设置、所采用的软硬件以及快速设定系统（Quick Setting）的架构等。利用快速设定系统,通过横焊缝跟踪与钢卷产品变量号（Product ID）．在钢卷规格更换之后,成型辊位能够实现自动调整,从而大大缩短了孔型切换的时间（从20min缩短到2min）。     

基于连续小波变换的湖底回波特征提取

提出了以多尺度连续小波变换值矩阵的奇异值作为识别特征矢量的方法,并利用该方法对湖底回波实测数据进行特征提取与分类。理论分析与仿真试验结果表明,相对于时间-小波能量和尺度-小波能量特征提取法而言,该方法可得到更好的类内紧致性和类间可分性,以及更佳的分类效果。     

A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity

This paper presents a novel non-destructive method for termite detection that uses the entropy of the continuous wavelet transform of the acoustic emission signals as an uncertainty measurement, to achieve selective frequency separation in complex impulsive-like noisy scenarios, with the aid of the spectral kurtosis as a validating tool. The goal consists of detecting relevant frequencies, by looking up the minima in the curve associated to the entropy of the difference between the raw data and the wavelet-based reconstructed version. By measuring the signal’s uncertainty, the scales corresponding to the entropy minima, or pseudo-frequencies, manage to target three main types of emissions generated by termites: the modulating components (enveloping curve), the carrier signals (activity, feeding and excavating), and the communicating impulses bursts (alarms). The spectral kurtosis corroborates the location of the entropy minima (optimum uncertainty) matching them to its maxima, associated to frequencies with the highest amplitude variability, and consequently minimizing the measurement uncertainty. The method is primarily conceived to cover the acoustic-range, in order to acquire signals via standard sound cards; a broaden high-frequency study is developed for the assessment, and with the added value of discovering new and higher frequency components of the species emissions. The potential of the method makes it useful for myriads of applications in the frame of nondestructive transient detection.     

一种基于可视密码的轮廓小波图像零水印方案

为了实现数字图像的版权保护,提出了一种基于可视密码的零水印方案.该方案首先实现了一种轮廓小波变换(CWT)的多尺度几何分析方法,然后通过在变换域能量最高的中频子带适当选取系数,结合预定义的可视密码码书,将二值水印图像藏匿于两个分享中,从而构造出零水印信号.实验结果表明,该方案不仅能在不改变原始图像的情况下实现版权保护,而且鲁棒性强,能抵抗JPEG压缩、剪切、加噪、锐化及旋转等图像处理攻击.     

某型导弹射手失误信号的时频分析研究

在某型导弹飞行训练中，射手失误后，对信号的处理不能准确得出失误发生的时间、失误的程度、失误的原因。针对这个问题，分析信号的特点，对几种典型的时频分析法进行比较，提出了用连续小波变换时频法分析射手失误时的信号。通过Matlab仿真实验证明，笔者提出的方法对射手失误信号的处理是有效的，能准确地确定失误的位置和程度。有助于查...     

Dispersion-based continuous wavelet transform for the analysis of elastic waves

The continuous wavelet transform (CWT) has a frequency-adaptive time-frequency tiling property, which makes it popular for the analysis of dispersive elastic wave signals. However, because the time-frequency tiling of CWT is not signal-dependent, it still has some limitations in the analysis of elastic waves with spectral components that are dispersed rapidly in time. The objective of this paper is to introduce an advanced time-frequency analysis method, called the dispersion-based continuous wavelet transform (D-CWT) whose time-frequency tiling is adaptively varied according to the dispersion relation of the waves to be analyzed. In the D-CWT method, time-frequency tiling can have frequency-adaptive characteristics like CWT and adaptively rotate in the time-frequency plane depending on the local wave dispersion. Therefore, D-CWT provides higher time-frequency localization than the conventional CWT. In this work, D-CWT method is applied to the analysis of dispersive elastic waves measured in waveguide experiments and an efficient procedure to extract information on the dispersion relation hidden in a wave signal is presented. In addition, the ridge property of the present transform is investigated theoretically to show its effectiveness in analyzing highly time-varying signals. Numerical simulations and experimental results are presented to show the effectiveness of the present method.     

小波变换在瞬变信号检测中的计算机仿真及应用

利用连续小波变换对模拟瞬变信号进行了仿真 ,试验结果表明 ,此方法灵敏度高 ,对噪声具有较好的鲁棒性。在此基础上探讨了基于离散小波变换的刀具破损的检测情况 ,取得了较好的效果 ,解决了以往此类故障由于干扰大而难以识别的困难 ,为故障诊断领域提供了一种非常有效的手段     

PARAMETERS OPTIMIZATION OF CONTINUOUS WAVELET TRANSFORM AND ITS APPLICATION IN ACOUSTIC EMISSION SIGNAL ANALYSIS OF ROLLING BEARING

Morlet wavelet is suitable to extract the impulse components of mechanical fault signals. And thus its continuous wavelet transform (CWT) has been successfully used in the field of fault diagnosis. The principle of scale selection in CWT is discussed. Based on genetic algorithm,an opti-mization strategy for the waveform parameters of the mother wavelet is proposed with wavelet en-tropy as the optimization target. Based on the optimized waveform parameters,the wavelet scalogram is used to analyze the simulated acoustic emission (AE) signal and real AE signal of rolling bearing. The results indicate that the proposed method is useful and efficient to improve the quality of CWT.