Spectrum Analysis – The key features of analyzing spectra

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

كلمة سر فك الضغط : books-world.net
The Unzip Password : books-world.net