首页> 外国专利> INTELLIGENCT IDENTIFICATION METHOD FOR VIBRATION CHARACTERISTIC OF ROTATING MACHINERY

INTELLIGENCT 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:一种用于旋转机械振动特性的智能识别方法,该步骤包括通过信号处理将机械振动的速度或加速度时域信号转换为频域包络谱,并提取频率上限值f max 包络谱;至少通过幅度比较筛选出频率范围在f max / N max 内的高能量谐波。 N max 是用于对高能谐波执行频率倍数检查的频率倍数上限倍数。然后,基于各个振幅和/或频率,提取每个高能谐波的1倍至N max 倍频域峰的至少一组特征参数。高能谐波的1倍频域峰值是高能谐波本身。最后,将每个高能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训练和计算。

著录项

  • 公开/公告号US2020256766A1

    专利类型

  • 公开/公告日2020-08-13

    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G01M99;G01H1;

  • 国家 US

  • 入库时间 2022-08-21 11:26:31

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