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Wavelet envelope power spectrum for gear fault diagnosis and comparison of diagnostic capability of wavelets

机译:小波包络功率谱,用于齿轮故障诊断和小波诊断能力的比较

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摘要

The concept of vibration signal analysis using wavelet analysis has found lot of advancement in the area of fault diagnosis in machines. In this research work, the techniques for gear fault diagnosis using Morlet & modified Morlet wavelet are presented. Wavelet analysis has capacity to analyse the various features in the vibration signal. Realistic vibration signals in time domain, were collected in different operating condition from an experimental setup, developed for characterizing the realistic situation. Before the application of wavelet analysis to diagnose the fault in gears, the filtering of vibration signals was performed to enhance the signal components. The concept of enveloped power spectrum using both the Morlet and Modified Morlet are applied to diagnose the fault in gears in its incipient stage. The comparison of diagnostic capability of both type of Wavelets are presented for analysing their capability. The result shows the successful identification offault in gears.
机译:使用小波分析的振动信号分析的概念在机器故障诊断区域发现了很多进步。 在这项研究工作中,介绍了使用Morlet和改性的Morlet小波进行齿轮故障诊断的技术。 小波分析具有分析振动信号中的各种特征的能力。 时间域中的现实振动信号,从实验设置中的不同操作条件收集,用于表征现实情况。 在应用小波分析之前诊断齿轮中的故障之前,执行振动信号的滤波以增强信号分量。 应用MERLET和改性的MERLET的包络功率谱的概念应用于诊断其初期阶段的齿轮故障。 提出了两种小波的诊断能力的比较,用于分析它们的能力。 结果显示了齿轮中成功的识别端子。

著录项

  • 来源
    《International journal of comadem》 |2021年第3期|1-6|共6页
  • 作者单位

    Department of Mechanical Engineering Mangalore Institute of Technology and Engineering Moodabidri-574225 India;

    Department of Aeronautical Engineering Mangalore Institute of Technology and Engineering Moodabidri-574225 India;

    Department of Mechatronics Engineering Mangalore Institute of Technology and Engineering Moodabidri-574225 India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wavelet; Spectrum; Filter; Gearf ault;

    机译:小波;光谱;过滤器;GEARF AULT.;

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