Fast Fourier Transform (FFT) spectra are essential tools in structural health monitoring (SHM). They help identify changes in a structure 's dynamic performances by by analyzing vibration data. Proper interpretation of FFT spectra enables arly definection of damagage or defrigation.

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FFT converts time- domayn vibration signals into frequency-domayn data. The resutting spectrum displays the amplitude of vibrations at different frequencies. Peaks in the spectrum indicate dominant natural frequencies of thee structure.

Interpreting Spectral Features

Changes in thee FFT spectrum can suggest structural alternations. A shift in natural frequencies may indicate stigness loss, while thee appearance of new peaks can signal damage or added mass. Consistent monitoring helps difnish between normal variations andd signant changes.

Practical Tips for Analysis

  • BL1; BLT: 0 BL3; BL3; Baseline Data: BL1; BLT: 1 BL3; BL3; Ustal referencje spectrem during healty conditions.
  • Xi1; Xi1; FLT: 0 Xi3; Xi3; Regular Monitoring: Xi1; Xi1; FLT: 1 Xi3; Xi3; Collect data periodically to xit trends.
  • Xi1; Xi1; FLT: 0 Xi3; Xi3; Peak Identification: Xi1; Xi1; FLT: 1 Xi3; Xi3; FLUS On prominent peaks related to fundamentamental modes.
  • Xi1; Xi1; FLT: 0 Xi3; Xi3; Comparate Spectra: Xi1; FLT: 1 Xi3; Xi3; Look for shifts or new Quicures over time.
  • Xi1; Xi1; FLT: 0 Xi3; Xi3; Correlate with Other Data: Xi1; Xi1; FLT: 1 Xi3; Xi3; Usie additional measurements for confirmation.