基于LabVIEW与Matlab的滚动轴承故障诊断
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Fault Diagnosis of Rolling Bearing Based on LabVIEW and Matlab
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    摘要:

    针对滚动轴承故障在线监测问题,将LabVIEW与Matlab 2种编程方式相结合进行故障诊断。论述滚动轴承故障信号特征,介绍峭度分析法和共振解调法分析方法,并采用LabVIEW和Matlab联合编程进行算法实现。借助典型轴承故障实验数据对分析方法进行验证,结果表明:该系统能有效分析并识别轴承的特征故障,可用于轴承故障监测。

    Abstract:

    Aiming at the problem of rolling bearing fault on-line monitoring, the fault diagnosis is carried out by combining LabVIEW and Matlab programming methods. This paper discusses the fault signal characteristics of rolling bearings, introduces the kurtosis analysis method and resonance demodulation method, and realizes the algorithm by using LabVIEW and Matlab joint programming. The analysis method is verified by the experimental data of typical bearing faults, and the results show that the system can effectively analyze and identify the characteristic faults of bearings, and can be used for bearing fault monitoring.

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引用本文

罗 建.基于LabVIEW与Matlab的滚动轴承故障诊断[J].,2023,42(09).

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  • 收稿日期:2023-05-08
  • 最后修改日期:2023-06-06
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  • 在线发布日期: 2023-09-27
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