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Intelligence identification method for vibration characteristic of rotating machinery

机译:旋转机械振动特性的智能识别方法

摘要

An intelligent identification method for a vibration characteristic of rotating machinery, the steps providing converting a speed or acceleration time domain signal of mechanical vibration to a frequency domain envelope spectrum by signal processing, extracting a frequency upper limit value fmax of the envelope spectrum; at least screening out a high energy harmonic with a frequency range within fmax/Nmax by amplitude comparison. Nmax is a frequency multiple upper limit multiple for performing a frequency multiple check on the high energy harmonic. Then, extracting at least one set of characteristic parameters, based on respective amplitudes and/or frequencies, of 1-fold to Nmax-fold frequency region peaks of each high energy harmonic. The 1-fold frequency region peak of the high energy harmonic is the high energy harmonic itself. Finally, inputting the at least one set of characteristic parameters of each high energy harmonic into a machine learning intelligent algorithm to perform training and calculation.
机译:一种智能识别方法,用于旋转机械的振动特性,通过信号处理将机械振动的速度或加速时域信号转换为频域包络光谱的步骤,提取信封谱的频率上限值Fmax;至少通过幅度比较筛选使用Fmax / Nmax内的频率范围的高能量谐波。 Nmax是一个频率多个上限值,用于对高能谐波进行频率多重检查。然后,基于每个高能谐波的Nmax倍频率区域峰值,提取至少一组特征参数。高能量谐波的1倍频率区域峰值是高能量谐波本身。最后,将每个高能量谐波的至少一组特征参数输入到机器学习智能算法中以进行培训和计算。

著录项

  • 公开/公告号US11112336B2

    专利类型

  • 公开/公告日2021-09-07

    原文格式PDF

  • 申请/专利权人 AKTIEBOLAGET SKF;

    申请/专利号US202016785891

  • 发明设计人 HAIYANG (JACKSON) LI;

    申请日2020-02-10

  • 分类号G06F11/30;G01M99;G01H1;

  • 国家 US

  • 入库时间 2022-08-24 20:52:33

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