Howtosignalprocessing
Spectral analysis of vibration: Spectral analysis is the process of transforming a signal from the time domain to the frequency domain. It's often done using FFT. The signal is analyzed to determine any substantial frequencies coming from the machine's components.
- What is frequency spectrum in vibration analysis?
- What is meant by spectral analysis?
- How do you read a vibration analysis?
- What is FFT in vibration analysis?
What is frequency spectrum in vibration analysis?
A vibration FFT (Fast Fourier Transform) spectrum is an incredibly useful tool for machinery vibration analysis. If a machinery problem exists, FFT spectra provide information to help determine the source and cause of the problem and, with trending, how long until the problem becomes critical.
What is meant by spectral analysis?
Spectral analysis is the process of estimating the power spectrum (PS) of a signal from its time-domain representation. Spectral density characterizes the frequency content of a signal or a stochastic process.
How do you read a vibration analysis?
Vibration analysis is a process that monitors vibration levels and investigates the patterns in vibration signals. It is commonly conducted both on the time waveforms of the vibration signal directly, as well as on the frequency spectrum, which is obtained by applying Fourier Transform on the time waveform.
What is FFT in vibration analysis?
The fast Fourier transform (FFT) is an efficient algorithm used to compute a discrete Fourier transform (DFT). This Fourier transform outputs vibration amplitude as a function of frequency so that the analyzer can understand what is causing the vibration.
