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    • 3. 发明授权
    • Multi-scale enveloping spectrogram signal processing for condition monitoring and the like
    • 用于状态监测的多尺度包络光谱图信号处理等
    • US07602985B2
    • 2009-10-13
    • US11521090
    • 2006-09-14
    • Robert X. GaoRuqiang Yan
    • Robert X. GaoRuqiang Yan
    • G06K9/36B24B49/00
    • G06K9/00523G01H1/06
    • A signal processing technique that decomposes complex, dynamically changing non-stationary signals from machine components such as bearings into different scales by means of a continuous wavelet transform. The envelope signal in each scale is then calculated from the modulus of the wavelet coefficients. Subsequently, Fourier transform is performed repetitively on the envelope of the signal at each scale, resulting in an “envelope spectrum” of the original signal at the various scales. The final output is a three-dimensional scale-frequency map that indicates the intensity and location of the defect-related frequency lines. The technique is generic in nature, and applicable not only to machine condition monitoring, but also to the health monitoring of a wide range of dynamic systems, including human beings.
    • 一种信号处理技术,其通过连续小波变换将复杂的,动态变化的非平稳信号从诸如轴承的机器部件分解成不同的尺度。 然后从小波系数的模数计算每个刻度中的包络信号。 随后,在每个刻度的信号的包络上重复执行傅里叶变换,从而产生各种尺度上原始信号的“包络谱”。 最终的输出是一个三维的比例 - 频率图,它指示与缺陷相关的频率线的强度和位置。 该技术本质上是通用的,不仅适用于机器状态监测,还适用于包括人类在内的广泛动态系统的健康监测。
    • 4. 发明申请
    • MULTI-SCALE ENVELOPING SPECTROGRAM SIGNAL PROCESSING FOR CONDITION MONITORING AND THE LIKE
    • 用于条件监测和类似的多尺度信号光谱信号处理
    • US20090222228A1
    • 2009-09-03
    • US11521090
    • 2006-09-14
    • Robert X. GaoRuqiang Yan
    • Robert X. GaoRuqiang Yan
    • G06F19/00G01R13/00
    • G06K9/00523G01H1/06
    • A signal processing technique that decomposes complex, dynamically changing non-stationary signals from machine components such as bearings into different scales by means of a continuous wavelet transform. The envelope signal in each scale is then calculated from the modulus of the wavelet coefficients. Subsequently, Fourier transform is performed repetitively on the envelope of the signal at each scale, resulting in an “envelope spectrum” of the original signal at the various scales. The final output is a three-dimensional scale-frequency map that indicates the intensity and location of the defect-related frequency lines. The technique is generic in nature, and applicable not only to machine condition monitoring, but also to the health monitoring of a wide range of dynamic systems, including human beings.
    • 一种信号处理技术,其通过连续小波变换将复杂的,动态变化的非平稳信号从诸如轴承的机器部件分解成不同的尺度。 然后从小波系数的模数计算每个刻度中的包络信号。 随后,在每个刻度的信号的包络上重复执行傅里叶变换,从而产生各种尺度上原始信号的“包络谱”。 最终的输出是一个三维的比例 - 频率图,它指示与缺陷相关的频率线的强度和位置。 该技术本质上是通用的,不仅适用于机器状态监测,还适用于包括人类在内的广泛动态系统的健康监测。