Research Article Open Access

A Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT)

S. Abdullah, C. K.E. Nizwan and M. Z. Nuawi


This study presents the development of the STFT-based fatigue data editing technique that will be used as a tool to accelerate for accelerating fatigue testing. This technique was performed by removing low amplitude cycles contained in the original signal in order to produce a shortened signal using the Short-Time Fourier Transform (STFT) parameter. The effectiveness of STFT power spectrum was validated using an SAE random fatigue data in order to indicate the relationship between STFT parameter and fatigue damage. The data was separated into two segments, i.e., damage and non-damage segments based on the 100% retention of the original fatigue damage. For the editing process, the STFT power spectrum distribution was used as the parameter to identify the damaged segment according to the power spectrum Cut-Off Level (COL). The low amplitude cycles with power spectrum lower than COL value were then removed from the original signal. Thus, a new edited signal was obtained which has retained almost 100% of the original fatigue damage and has equivalent signal statistic. The edited signal was found to be approximately 84% of the time duration of the original signal.

American Journal of Applied Sciences
Volume 6 No. 4, 2009, 565-575


Submitted On: 24 January 2008 Published On: 30 April 2009

How to Cite: Abdullah, S., Nizwan, C. K. & Nuawi, M. Z. (2009). A Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT). American Journal of Applied Sciences, 6(4), 565-575.

  • 59 Citations



  • Fatigue data editing
  • random loading
  • signal processing
  • STFT