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How are fast Fourier transforms used in vibration analysis?

The instrument for analyzing signals via fast Fourier transforms is the digital signal analyzer (also referred to as a spectrum analyzer). This device captures the vibration signal, samples it, digitizes it, and performs the FFT analysis. The resulting FFT spectrum helps pinpoint the location, cause, and severity of the vibration, based on the ...

What is the use of fast Fourier transformation (FFT)?

The "Fast Fourier Transform" (FFT) is an important measurement method in science of audio and acoustics measurement. It converts a signal into individual spectral components and thereby provides frequency information about the signal. FFTs are used for fault analysis, quality control, and condition monitoring of machines or systems. This article explains how an FFT works, the relevant ...

What is FFT analysis?

FFT analysis is one of the most used techniques when performing signal analysis across several application domains. FFT transforms signals from the time domain to the frequency domain. FFT is the abbreviation of Fast Fourier Transform.

What is NFFT in MATLAB?

nFFT = ceil (fS/fResMin) Be aware however, that this might become huge! For your application, a minimum resolution of 1Hz would result in 2000000 samples.

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