共查询到20条相似文献，搜索用时 31 毫秒
1.
针对基于四象限压力传感器阵列的迎角测量方法中传感器信号受到干扰的问题。讨论了在其预处理中应用小波包变换进行信号分离提取的方法。根据小波包分解理论,对信号进行小波包分解,信号中频率不同的部分落在不同的尺度上,剔除反映干扰的变换尺度,提取出有用信息。结果表明,该方法可很好地提取信号的主要特征信息,也有效地去除了确定性干扰和随机噪声,与传统的信号滤波方法相比较具有明显的优点,同时为后续的信号处理奠定了基础。 相似文献
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Acoustic signals from diesel engines contain useful information but also include considerable noise components.To extract information for condition monitoring purposes, continuous wavelet transform (CWT) is used for the characterization of engine acoustics. This paper first reviews CWT characteristics represented by short duration transient signals.Wavelet selection and CWT are then implemented and wavelet transform is used to analyze the major sources of the engine front's exterior radiation sound. The research provides a reliable basis for engineering practice to reduce vehicle sound level.Comparison of the identification results of the measured acoustic signals with the identification results of the measured surface vibration showed good agreement. 相似文献
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Acoustic signals from diesel engines contain useful information but also include considerable noise components. To extract information for condition monitoring purposes, continuous wavelet transform (CWT) is used for the characterization of engine acoustics. This paper first reviews CWT characteristics represented by short duration transient signals. Wavelet selection and CWT are then implemented and wavelet transform is used to analyze the major sources of the engine front's exterior radiation sound. The research provides a reliable basis for engineering practice to reduce vehicle sound level. Comparison of the identification results of the measured acoustic signals with the identification results of the measured surface vibration showed good agreement. 相似文献
4.
基于定子电流信号进行异步电机故障诊断时,转子断条和匝间短路故障特征频率分量常常被电流的基频分量淹没,利用小波变换的能量谱对其进行诊断十分必要.考虑到小波分析在时域、频域都具有表征信号局部特征的能力,能通过时频窗的灵活变换来突出信号的不同频率成分;同时还有用小波处理非平稳信号的优越性,计算出各频带所占能量,进而获取能量分布的故障特征.实践表明,通过上述分析并从能量分布的角度出发,可以快速、准确地诊断出电机故障,诊断效果好于傅里叶分析;同时也提供了一种思路,为电机故障在线实时诊断提供了理论依据. 相似文献
5.
唐炬 《重庆大学学报(英文版)》2003,2(1)
1. Introduction For suppressing discrete spectrum interference (DSI) in partial discharge (PD) signals, the presently wide-used approaches are hardware filters and Fourier transform based digital notch filters [1], which, definitely having gained effect in some extent, lead to relatively large energy loss of original PD signals and the preset parameters wont work when new interference appears or some center frequency changes. Adaptive filters [2] adjust parameters automatically with poor st… 相似文献
6.
宋月丽 《通化师范学院学报》2008,29(2):28-31
人造视网膜将外来光信号转化为电信号,用人造视网膜替代外层受损视网膜的功能,直接用人造视网膜处理之后的信号刺激视网膜内部神经细胞,从而使外部视网膜病变引起的失明得到恢复．而微电极之前的图像信息处理过程需要一个视觉信息处理模型为基础．该文利用子波变换对图像信息处理的灵活方便性,以及子波变换与人眼视觉信息处理过程的相一致性．在目前子波研究的基础上,把子波变换的思想应用于可恢复盲人视觉的视觉信息处理模型之中． 相似文献
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Shear probe works under a tough environment where the turbulence signals to be measured are very weak.The measured turbulence signals often contain a large amount of noise.Due to wide frequency band,no... 相似文献
9.
基于分形维前臂动作表面肌电信号的分类 总被引：1，自引：0，他引：1
通过分形维对表面肌电信号进行识别分类.在30个健康志愿者做前臂内旋和外旋时,从他们的右前臂肌前群分别采集2类动作表面肌电信号.当原始动作表面肌电信号用小波包变换分解成几个子信号后,采用一种基于模糊自相似性的方法计算原始信号和4个子信号的分形维.结果表明:从频带0～125 Hz的子信号求得的内旋和外旋动作表面肌电信号的分形维有各自的范围;通过该分形维进行Bayes决策时,错误识别率仅2.26%.因此,该分形维适合用来识别内旋和外旋动作表面肌电信号. 相似文献
10.
覃丹婵 《广东职业技术师范学院学报》2014,(7):12-15
主要研究了快速傅里叶变换和离散小波变换在两种不同信号中应用,对处理的结果进行了比较分析.说明在突变信号处理中,更适宜使用小波处理,而对于相对平稳的信号,应用傅里叶变换处理则更为有效. 相似文献
11.
Study of engine noise based on independent component analysis 总被引：1，自引：0，他引：1
HAO Zhi-yong JIN Yan YANG Chen 《浙江大学学报(A卷英文版)》2007,8(5):772-777
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
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沈国利刘景良余贤英吴金福郑文婷 《福建工程学院学报》2019,(6):586-592
采用基于压电陶瓷应力波的方法对套筒灌浆的密实性进行缺陷检测。通过有限元方法模拟灌浆套筒构件在健康与不同缺陷工况下的响应信号,在此基础上采用小波包变换定义了缺陷检测指标小波包能量。数值算例研究结果表明:小波包能量指标能够有效地识别灌浆套筒内部灌浆料的密实性,并且随着灌浆缺陷的增大指标值逐渐增大。 相似文献
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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
14.
基于小波分解频带能量特征和BP神经网络的方法识别油浸式变压器短路故障。利用电弧光信号进行油浸式变压器短路故障诊断,对不同工况下的光信号进行多分辨率分析的四层小波分解,选择合适的重构小波系数,提取特征频带。对提取出的特征频带的小波系数作平方和归一化处理,求出每个特征频带的能量,作为特征参数输入到BP神经网络模型中进行训练和故障识别。 相似文献
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动态心电监护具有监测时间长、数据量大的特点,所以心电数据压缩十分必要．对于心电信号压缩的方法有很多,文章提出了心电信号小波变换自适应编码压缩方法,与其它压缩方法相比,此方法减少了信号重建时的失真,压缩比5到12． 相似文献
16.
传统信号去噪方法常采用门限法对噪声信号的小波或小波包变换做阈值处理以达到去噪的目的。本文介绍了一种利用小波包滑动阈值去噪的新方法,通过对信号的小波包分解系数的滑动阈值量化,得到重构的去噪信号。计算机仿真结果表明,滑动阈值法具有很好的实用价值。 相似文献
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Speech signals in frequency domain were separated based on discrete wavelet transform （DWT） and inde- pendent component analysis （ICA）. First, mixed speech signals were decomposed into different frequency domains by DWT and the subbands of speech signals were separated using ICA in each wavelet domain; then, the permutation and scaling problems of frequency domain blind source separation （BSS） were solved by utilizing the correlation between adjacent bins in speech signals; at last, source signals were reconstructed from single branches. Experiments were car- ried out with 2 sources and 6 microphones using speech signals at sampling rate of 40 kHz. The microphones were aligned with 2 sources in front of them, on the left and right. The separation of one male and one female speeches lasted 2.5 s. It is proved that the new method is better than single ICA method and the signal to noise ratio is improved by 1 dB approximately. 相似文献
18.
信号特征提取是通信调制信号识别的关键问题,文章对数字调制信号进行Gabor变换和Morlet小波变换,然后在变换的基础上用crazyclimber算法提取脊特征,从而基于脊特征达到对通信数字调制信号进行识别的目的。 相似文献
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用模糊函数表示超声信号,以解决特征提取时不同中心频率和不同到达时间的超声信号的预处理问题,并为信号分类提供时频特征。提出采用Karhunen-Loeve(K-L)变换提取信号的模糊平面特征,并对特征的分类能力进行了分析。实验结果表明模糊函数能有效去除信号的中心频率和到达时间的差异,用K-L变换提取的模糊平面特征能在低维空间有效地描述超声信号,并能获得较好的分类效果。 相似文献
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Feature extraction of electrocardiogram(ECG) is oneof the mostimportanttasksin heart disease diagnosis .Gen-erally,these algorithms include length and energytransfor-mation[1],hidden Markov models[2],neural networks[3],and wavelet transform[4], etc . Howe… 相似文献