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1.
Study of engine noise based on independent component analysis   总被引:1,自引:0,他引:1  
Independent component analysis was applied to analyze the acoustic signals from diesel engine. First the basic prin-ciple of independent component analysis (ICA) was reviewed. Diesel engine acoustic signal was decomposed into several inde-pendent components (ICs); Fourier transform and continuous wavelet transform (CWT) were applied to analyze the independent components. Different noise sources of the diesel engine were separated, based on the characteristics of different component in time-frequency domain.  相似文献   

2.
针对齿轮常见故障及信号在传统EMD算法分解中产生的端点效应,提出一种基于改进经验模态分解(EMD)与快速独立分量分析(FastICA)—样本熵的齿轮故障特征提取方法。首先对信号进行EMD分解,得到一系列IMF分量和残余量,在此过程中通过匹配差别最小的极值包络线段确定端点处极值,然后从每个信号中分别选取周期性明显的分量与原始信号组成混合信号作为FastICA的输入,获得ICA计算后的分量,最后分别计算EMD分量与各独立分量的样本熵。实验结果表明,改进后的EMD算法可以有效改善端点效应问题,并通过与EMD—样本熵的对比,表明FastICA—样本熵能更明显、稳定地反映齿轮故障,因此可作为一种有效的故障特征。  相似文献   

3.
This paper explores and proposes a design solution of an integrated skip cycle mode (SCM) control circuit with a simple structure. The design is simulated and implemented with XD10H-1.0μm modular DIMOS 650 V process. In order to meet the requirement of a wide temperature range and high yields of products, the schematic extracted from the layout is simulated with five process corners at 27℃and 90℃. Simulation results demonstrate that the proposed integrated circuit is immune to noise and achieves skipping cycle control when switching mode power supply (SMPS) works with low load or without load.  相似文献   

4.
This paper presents an effective and efficient combination of feature extraction and multi-class classifier for motion classification by analyzing the surface electromyografic(sEMG) signals. In contrast to the existing methods,considering the non-stationary and nonlinear characteristics of EMG signals,to get the more separable feature set,we introduce the empirical mode decomposition(EMD) to decompose the original EMG signals into several intrinsic mode functions(IMFs) and then compute the coefficients of autoregressive models of each IMF to form the feature set. Based on the least squares support vector machines(LS-SVMs) ,the multi-class classifier is designed and constructed to classify various motions. The results of contrastive experiments showed that the accuracy of motion recognition is improved with the described classification scheme. Furthermore,compared with other classifiers using different features,the excellent performance indicated the potential of the SVM techniques embedding the EMD-AR kernel in motion classification.  相似文献   

5.
Dynanfic forces are the main factor that influences the axle weight measurement accuracy of moving vehicle. Empirical mode decomposition (EMD) is presented to separate the dynamic forces contained in the axle weight signal. The concept and algorithm of EMD are introduced. The characteristic of the axle weight signal is analyzed. The method of judging pseudo intrinsic mode function (pseudo-IMF) is presented to improve the weighing accuracy. Numerical simulation and field experiments are conducted to evaluate the performance of EMD. The result shows effectiveness of the proposed method. Maximum weighing errors of the front axle, the rear axle and the gross weight at the speed of 15 km/h or lower are 2.22%, 6.26% and 4.11% respectively.  相似文献   

6.
采用图像方法可以更加直观地对管道漏检测中的缺陷进行判断,但在图像数据的采集过程中噪声是不可避免的。采用二维经验模态分解(BEMD)与均值滤波法相结合的方法对漏磁图像进行去噪处理,将图像信号分解为有限个二维固有模态函数(BIMF)和一个残余分量,将残余分量保留,对BIMF分别进行均值滤波,再将处理后的BIMF分量与残差一起重构图像,所得重构图像在保留原图像基本信息的基础上,消除了大量噪声信息。文中还直接采用均值滤波方法对漏磁图像进行去噪处理,通过信噪比的比较,表明BEMD方法用于漏磁图像去噪效果明显。  相似文献   

7.
EMD方法在局部放电超声信号提取中的应用   总被引:1,自引:0,他引:1  
变压器局部放电超声波定位中,首要任务是对超声波信号的提取,其准确性将直接影响到定位的实现.EMD方法可以将非线性、非平稳信号分解为不同频率成分的内禀模态函数,从而提取超声波信号.以山西省高压电气设备局部放电定位项目为背景,详细分析了EMD方法的原理、实现过程,并用实例测试仿真,验证了该方法的有效性与准确性.  相似文献   

8.
INTRODUCTION Ensuring the integrity and safe operation of oil pipelines network is critical for ensuring the trans- portation of one of the most important forms of en- ergy. An inspection vehicle, called intelligent pig, which employs ultrasonic non-destructive testing technique is often used to inspect oil transmission pipelines (Okamoto et al., 1999; Reher et al., 2002). The ultrasonic detection principle involves the fun- damental concept that a propagating wave will be reflected and/o…  相似文献   

9.
针对实际电能质量扰动种类繁多、扰动信号差异不明显、存在多种混合扰动,导致识别电能质量非常困难的情况,提出一种基于极点对称经验模式分解方法(ESMD)和支持向量机(SVM)的电能质量混合扰动信号分类识别新方法。首先,对加入白噪声的混合扰动信号利用小波软阈值去噪处理|其次,利用ESMD将信号分解为不同信号分量,对每类扰动的不同信号分量分别提取样本熵和互样本熵特征值,所有分量特征值构成特征向量|最后利用SVM对扰动信号特征向量进行分类和混合扰动识别。研究表明,该方法对混合扰动识别正确率很高,是一个有效的方法。  相似文献   

10.
一体化电子式电流电压互感器研究   总被引:7,自引:1,他引:7  
A high-performance current and voltage measurement system has been developed in power system.The system is composed of two parts:one current measurement element and one voltage measurement element.A Rogowski coil and a capacitive voltage divider are used respectively for the line current and voltage measurements.Active electronic components are used to modulate signal,and power supply for these components is drawn from power line via an auxiliary current transformer,Measurement signal is transmitted y optical fibers,which is resistant to electromagnetic induction and noise,With careful design and the use of digital signal processing technology,the whole system can meet 0.5% accuracy for metering and provides large dynamic range coupled with good accuracy for protective relaying use.  相似文献   

11.
In order to sufficiently exploit the advantages of different signal processing methods, such as wavelet transformation (WT), artificial neural networks (ANN) and expert rules (ER), a synthesized multi-method was introduced to detect and classify the epileptic waves in the EEG data. Using this method, at first, the epileptic waves were detected from pre-processed EEG data at different scales by WT, then the characteristic parameters of the chosen candidates of epileptic waves were extracted and sent into the well-trained ANN to identify and classify the true epileptic waves,and at last, the detected epileptic waves were certificated by ER. The statistic results of detection and classification show that, the synthesized multi-method has a good capacity to extract signal features and to shield the signals from the random noise. This method is especially fit for the analysis of the biomedical signals in biomedical engineering which are usually non-placid and nonlinear.  相似文献   

12.
LM567及其在测距中的应用   总被引:1,自引:0,他引:1  
介绍了LM567的组成及应用电路,重点介绍了将其用于超声波检测时对输入信号的要求及外围元件的要求。给出了以LM567作为检测元件的超声波测距电路及测量程序流程图。实验表明使用LM567作为超声检测集成电路具有较高的性能价格比。  相似文献   

13.
降噪处理是分析结构振动信号、提取特征参数、研究损伤识别方法的基础,核独立分量分析(KICA)采用的核方法为结构振动信号的降噪处理提供了新的方法;通过对比KICA与其他算法降噪后信号的HHT边际谱,验证了KICA对低阻尼钢框架结构标准损伤模型降噪的优良性能,特别是提高了对结构安全至关重要的低频振动部分的能量估计的准确度。  相似文献   

14.
介绍了回声消除器的基本结构、回声路径的脉冲响应以及语音信号的特点,分析输入信号为白噪声、有色噪声和语音的情况下自适应算法的性能,在此基础上应用一种参数筛选更新归一化最小均方差(NLMS)算法以及基于互相关的双边对话侦测算法,并提供详细仿真结果。  相似文献   

15.
To develop a measurement system for monitoring partial discharge (PD) without the effect of external interferences,an algorithm of PD signal extraction based on wavelet transform with Teager's energy operators was presented.Acoustic signal generated by PD was selected to remove excessive interfering signals and electromagnetic interferences.Acoustic signals were collected and decomposed into 10 levels by wavelet transform into approximation and detail components."Daubechies 25"was proved to be the most suitable mother wavelet for the extraction of PD acoustic signals.Compared with conventional wavelet denoising method,Teager's energy operators were adopted to the PD signal reconstruction and the signal to noise ratio was pulse amplitude.  相似文献   

16.
本文论述了利用单片机技术和归一化最小均方误差(NLMS)算法来抑制语音回路的声反馈的理论基础、硬件设计和软件设计,给出了程序框图。本研究的创新点就在于用SoC单片机来实现声反馈抑制。  相似文献   

17.
利用Microsoft.net作为开发平台,完成超声相控阵无损检测自动成像系统的开发和设计。该系统可以通过USB接口控制相控阵电路硬件系统阵元发射,完成数据实时采集和数据实时成像任务。系统同时支持A扫、B扫和S扫等多种超声相控阵扫查方式,同时成像参数、成像方式可以通过界面参数进行选择,并能实现图像放大缩小、光标定位、图像标尺标定和实时系统参数校正,采集到的数据可根据不同的扫查方式,实现3种格式的文件存储。通过自主开发超声线控阵无损检测自动成像系统节约了成本并拥有独立的知识产权。该系统方便灵活,加深了对超声相控阵信号成像的直观理解,有助于推动相控超声技术在无损检测中的应用。该系统也可以植入便携式设备,方便检测人员的使用。  相似文献   

18.
基于小波变换的去噪理论对纳米固体AIP/SiO2中激光超声信号进行了去噪处理。根据信号的波形特点选取了小波函数。给出了不同阈值下的去噪结果。结果表明采用heursure阈值去噪有利于提取超声回波波形。  相似文献   

19.
针对癫痫脑电(EEG)信号的非平稳性和非线性,提出一种基于集合经验模式分解(EEMD)提特征并利用最小二乘支持向量机(LS-SVM)的脑电信号分类方法。首先利用EEMD将EEG信号分成多个经验模式分量,得到各阶本征模式分量(IMF),然后提取有效特征,最后用LS-SVM对其进行分类,实验结果表明,该方法对癫痫发作间歇期和发作期EEG的提特征后分类识别正确率达到98%。  相似文献   

20.
The combustion behavior of typical components of MSW was examined with a thermal gravimetric analyzer (TGA). The experiments were done over the temperature range of room temperature to 1000℃ at a heating rate of 10 oC/min and in an oxidizing atmosphere. The results indicated that the entire weight loss process of each typical component of MSW consists of one to three distinct combustion stages. The combustion of typical components of MSW could be modeled by one to three independent reactions. The corresponding parameters of typical components of MSW such as activation energy, pre-exponential factor, and reaction order were determined. The calculated results using the comprehensive kinetic model composed of one to three independent and consecutive reactions, agreed well with experimental results.  相似文献   

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