Extracted fatigue damaging events using the morlet wavelet-based algorithm

Research output: Contribution to journalArticle

Abstract

This paper presents an algorithm for wavelet coefficient extraction for fatigue strain signal editing based on the Morlet wavelet parameter.order to achieve the objective of this paper, three mission signals produced at three gate values were simulated for the purpose of the verification of the effectiveness of the fatigue features extraction. The effectiveness was determined by comparing the global signal statistical parameter and total fatigue damaging values between the original and mission shortened signals. Ideally, all signals have approximately the same values. For the related analysis of this paper, the value of 37,000 LIE/HZ was selected as the optimum gate value since the level did not change the signal behaviour. When in use, this gate value gave 101 seconds shortened signal, containing at least 90.8% of the original fatigue damage.conclusion, this study found that the use of the Morlet wavelet has led to the development of a method to summarise a fatigue strain signal, whilst preserving the originality of the signal behaviour and the fatigue damage.

Original languageEnglish
Pages (from-to)22-29
Number of pages8
JournalHKIE Transactions Hong Kong Institution of Engineers
Volume18
Issue number1
Publication statusPublished - 2011

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Fatigue of materials
Fatigue damage
Feature extraction

Keywords

  • Extraction algorithm
  • Fatigue strain signal
  • Mission signal
  • The morlet wavelet coefficient

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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title = "Extracted fatigue damaging events using the morlet wavelet-based algorithm",
abstract = "This paper presents an algorithm for wavelet coefficient extraction for fatigue strain signal editing based on the Morlet wavelet parameter.order to achieve the objective of this paper, three mission signals produced at three gate values were simulated for the purpose of the verification of the effectiveness of the fatigue features extraction. The effectiveness was determined by comparing the global signal statistical parameter and total fatigue damaging values between the original and mission shortened signals. Ideally, all signals have approximately the same values. For the related analysis of this paper, the value of 37,000 LIE/HZ was selected as the optimum gate value since the level did not change the signal behaviour. When in use, this gate value gave 101 seconds shortened signal, containing at least 90.8{\%} of the original fatigue damage.conclusion, this study found that the use of the Morlet wavelet has led to the development of a method to summarise a fatigue strain signal, whilst preserving the originality of the signal behaviour and the fatigue damage.",
keywords = "Extraction algorithm, Fatigue strain signal, Mission signal, The morlet wavelet coefficient",
author = "Putra, {Teuku E.} and Shahrum Abdullah and Nuawi, {Mohd. Zaki} and {Mohd Nopiah}, Zulkifli and Lenni Abdullah and Azli Arifin",
year = "2011",
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T1 - Extracted fatigue damaging events using the morlet wavelet-based algorithm

AU - Putra, Teuku E.

AU - Abdullah, Shahrum

AU - Nuawi, Mohd. Zaki

AU - Mohd Nopiah, Zulkifli

AU - Abdullah, Lenni

AU - Arifin, Azli

PY - 2011

Y1 - 2011

N2 - This paper presents an algorithm for wavelet coefficient extraction for fatigue strain signal editing based on the Morlet wavelet parameter.order to achieve the objective of this paper, three mission signals produced at three gate values were simulated for the purpose of the verification of the effectiveness of the fatigue features extraction. The effectiveness was determined by comparing the global signal statistical parameter and total fatigue damaging values between the original and mission shortened signals. Ideally, all signals have approximately the same values. For the related analysis of this paper, the value of 37,000 LIE/HZ was selected as the optimum gate value since the level did not change the signal behaviour. When in use, this gate value gave 101 seconds shortened signal, containing at least 90.8% of the original fatigue damage.conclusion, this study found that the use of the Morlet wavelet has led to the development of a method to summarise a fatigue strain signal, whilst preserving the originality of the signal behaviour and the fatigue damage.

AB - This paper presents an algorithm for wavelet coefficient extraction for fatigue strain signal editing based on the Morlet wavelet parameter.order to achieve the objective of this paper, three mission signals produced at three gate values were simulated for the purpose of the verification of the effectiveness of the fatigue features extraction. The effectiveness was determined by comparing the global signal statistical parameter and total fatigue damaging values between the original and mission shortened signals. Ideally, all signals have approximately the same values. For the related analysis of this paper, the value of 37,000 LIE/HZ was selected as the optimum gate value since the level did not change the signal behaviour. When in use, this gate value gave 101 seconds shortened signal, containing at least 90.8% of the original fatigue damage.conclusion, this study found that the use of the Morlet wavelet has led to the development of a method to summarise a fatigue strain signal, whilst preserving the originality of the signal behaviour and the fatigue damage.

KW - Extraction algorithm

KW - Fatigue strain signal

KW - Mission signal

KW - The morlet wavelet coefficient

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