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Bearing and Fault Frequency Identification From Vibration Spectral Plots

机译:从振动频谱图识别轴承和故障频率

摘要

A vibration measurement and analysis system identifies faulty bearings in a machine based on spectral vibration data. The system includes vibration sensors attached to the machine that generate vibration signals. A vibration data collector generates vibration spectral data based on the vibration signals. The vibration spectral data comprises vibration amplitude versus frequency data that includes peak amplitudes at corresponding peak frequencies. At least some of the peak amplitudes are associated with vibration generated by the faulty bearings. A vibration analysis computer processes the vibration spectral data to (1) locate the largest peak amplitudes, (2) search a bearing fault frequency library to generate a list of identified bearings having bearing fault frequencies matching the peak frequencies of the largest peak amplitudes, (3) determine a normalized accuracy error for each of the identified bearings, and (4) select from the list one of the identified bearings having a smallest normalized accuracy error.
机译:振动测量和分析系统根据频谱振动数据识别机器中的故障轴承。该系统包括连接到机器的振动传感器,它们会产生振动信号。振动数据收集器基于振动信号生成振动频谱数据。振动频谱数据包括振动振幅对频率的数据,其包括在相应峰值频率处的峰值振幅。至少某些峰值幅度与故障轴承产生的振动有关。振动分析计算机处理振动频谱数据以(1)定位最大峰值振幅,(2)搜索轴承故障频率库以生成已识别轴承的列表,这些轴承具有与最大峰值振幅的峰值频率相匹配的轴承故障频率,( 3)为每个已识别轴承确定归一化精度误差,并且(4)从列表中选择具有最小归一化精度误差的已识别轴承之一。

著录项

  • 公开/公告号US2020225117A1

    专利类型

  • 公开/公告日2020-07-16

    原文格式PDF

  • 申请/专利权人 COMPUTATIONAL SYSTEMS INC.;

    申请/专利号US201916248345

  • 发明设计人 ANTHONY J. HAYZEN;

    申请日2019-01-15

  • 分类号G01M13/045;

  • 国家 US

  • 入库时间 2022-08-21 11:25:41

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