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Interpreting Vibration Spectrum and TWF Patterns

Richard Burton Interpreting Vibration Spectrum and TWF Patterns (Understanding Motion Through Pattern Recognition) 6/8/2012 2 When reduced to it s most basic concept, Vibration Analysis can be thought of as looking for Patterns in the Vibration data. We use the same concepts that we learned in kindergarten: Even spacing (harmonics) Mirror image (sidebands) Comparing objects (baseline, other directions or similar machine) Odd Man Out (group comparison) Patterns 3 Spectrum Patterns 4 There are four basic Spectrum Patterns : Harmonics - Almost always caused by the TWF shape Sidebands - Due to Amplitude or Frequency Modulation Mounds/Haystacks - Random Vibration occurring in a frequency range Raised Noise Floor - White noise or large random events Spectrum Patterns 5 Spectrum Harmonics The FFT is breaking down the TWF into a combination of sinusoidal frequencies The only motion that can be represented by one sine wave is a sine wave!

Richard Burton Interpreting Vibration Spectrum and TWF Patterns (Understanding Motion Through Pattern Recognition) 6/8/2012

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