The use of Morlet wavelet coefficients for identifying fatigue damage features

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)107-114
Number of pages8
JournalPertanika Journal of Science and Technology
Volume19
Issue numberSPEC. ISSUE
Publication statusPublished - Oct 2011

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Fatigue damage
fatigue
wavelet
Fatigue
Fatigue of materials
damage
simulation

Keywords

  • Fatigue damage
  • Fatigue strain signal
  • Morlet wavelet coefficient

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Chemical Engineering(all)
  • Computer Science(all)
  • Environmental Science(all)

Cite this

The use of Morlet wavelet coefficients for identifying fatigue damage features. / Abdullah, Shahrum; Putra, T. E.; Nuawi, Mohd. Zaki; Mohd Nopiah, Zulkifli.

In: Pertanika Journal of Science and Technology, Vol. 19, No. SPEC. ISSUE, 10.2011, p. 107-114.

Research output: Contribution to journalArticle

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