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此程序是关于小波变换用于故障信号分析和处理的程序,特别适合去噪和第一类间断点的检测,适合机械波研究者参考-this procedure is used on the wavelet transform fault signal analysis and processing procedures, particularly suitable for de-noising and continuity of the first category of detection, for the refe
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构造小波基,但是该程序有问题,还不能运行,我修改了几次,还是不行,希望大家帮忙-The wavelet transform of signals of different frequencies of the signal feature detection sensor fault.
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基于小波包的信号瞬态成分检测与提取方法及其应用,提出基于小波包分解特征表示和瞬态特征重
建方法并应用于汽车变速器齿轮的故障诊断,结果表明基于小波包分解的信号特征表示方法能有效检测信号中瞬
态成分的存在,瞬态成分的重建结果有效地表示了齿轮的故障状态。
-The detection and extraction of signal transients through wavelet packets decomposition are
studied and signal trans
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提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
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提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
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复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibrati
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提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
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利用小波的消噪功能检测微弱的故障突变信号。-Using wavelet denoising function mutation detection of weak signals fault.
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The fault of broken rotor bars in a three phase induction motor is diagnosed by using the wavelet multiresolution analysis
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城轨车辆轮对踏面故障在线监测系统,基于振动检测法的轮对踏面故障监测系统,通过傅里叶变换、小波包分析对釆集到的振动信号进行分析获得信号的特征,研究了基于短时能量判断的踏面故障特征提取算法。-On line monitoring system for wheel tread of urban rail vehicles, based on the vibration detection method of wheel tread fault monitoring system, through th
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his article presents a fast, hardware efficient logic for fault detection and
classification in transmission lines. The proposed logic employs only one-terminal
current samples and is based on multi-resolution wavelet analysis
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