Title of article :
The Use of Morlet Wavelet Coefficients for Identifying Fatigue Damage Features
Author/Authors :
Abdullah, S. Universiti Kebangsaan Malaysia - Department of Mechanical and Materials Engineering, Malaysia , Putra, T. E. Universiti Kebangsaan Malaysia - Department of Mechanical and Materials Engineering, Malaysia , Nuawi, M.Z. Universiti Kebangsaan Malaysia - Department of Mechanical and Materials Engineering, Malaysia , Nopiah, Z. M. Universiti Kebangsaan Malaysia - Department of Mechanical and Materials Engineering, Malaysia
Abstract :
This paper presents a new approach to identify fatigue damaging potential locations using the Morlet wavelet coefficients. For solving the subject matter, the 122.4 second SAESUS strain signal was selected for the simulation purpose. As the result, the Morlet wavelet coefficients predicted that the maximum fatigue damage occurs at 40.4 - 42.6 seconds and 67.4 - 70 seconds. For the validation purpose, the Morrow’s fatigue damaging value was calculated and was obtained that the maximum fatigue damage occurs at 0 seconds and 99.7 seconds. The fatigue damaging value at the points was 0.0047 cycles to failure. Since both the plots had similar pattern, the Morlet wavelet coefficients could be used as the early warning of the fatigue damaging potential locations, although the locations were not entirely correct
Keywords :
Fatigue strain signal , Morlet wavelet coefficient , fatigue damage
Journal title :
Pertanika Journal of Science and Technology ( JST)
Journal title :
Pertanika Journal of Science and Technology ( JST)
