FFT Analysis

The most common processing on dynamic data is to perform real-time FFT analysis to convert the data to the frequency domain. Conversion to the frequency domain may provide a much clearer picture for analysis, and consequently most dynamic data is best viewed in the frequency domain.

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FFT Applications

Used extensively in industries such as aerospace, automotive, defense, power and process, and manufacturing, the FFT serves as a primary tool for applications where vibration and other dynamic measurements are made including acceptance testing, vibration surveys, model validation, and troubleshooting and diagnostics.


  • Real time data processing
  • Integration and Differentiation
  • FFT spectrum to identify dominant frequencies and spectral density levels
  • RMS and peak value displays
  • Review and compare/overlay signals
  • Synthesized octave displays
  • Automatic Export formats – Excel/ASCII, Matlab, UFF, ME’Scope
  • Professional reports


  • In-flight measurements
  • In-car testing by automotive manufacturers
  • Precision equipment used in semiconductor manufacturing
  • Testing components by suppliers
  • On board submarines for underwater tests