Spectrum Analysis – The key features of analyzing spectra

Spectrum Analysis – The key features of analyzing spectra
اسم المؤلف
Jason Mais
التاريخ
25 مايو 2022
المشاهدات
392
التقييم
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Spectrum Analysis – The Key Features of Analyzing Spectra
By Jason Mais, SKF USA Inc.
Summary
This guide introduces machinery maintenance workers to condition monitoring analysis methods used to detect and analyze machine component failures. It informs the reader about common analysis methods. It intends to lay the foundation for understanding machinery analysis
concepts and show the reader what is needed to perform an actual analysis on specific machinery.
Contents

  1. Introduction 3
  2. Common steps in a vibration monitoring program 4
  3. Step 1 . 4
    3.1. Collect useful information 4
    3.2. Identify components of the machine that could cause
    vibration 4
    3.3. Identify the running speed . 4
    3.4. Other key considerations . 5
    3.5. Identify the type of measurement that produced the
    FFT spectrum . 5
  4. Step 2 . 5
    4.1. Analyze spectrum 5
    4.2. Common components of vibration spectrums 5
    4.3. Identify and verify suspected fault frequencies . 6
    4.4. Determine fault severity . 6
  5. Misalignment . 7
  6. Unbalance 11
  7. Mechanical looseness 14
  8. Bent shaft 15
  9. Rolling element bearing defects . 16
  10. Gears 23
  11. Blades and vanes 25
  12. Electrical problems 27
  13. Step 3 . 28
    13.1. Multi-parameter monitoring 28
  14. Conclusions 29
  15. Further reading . 2

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