2011HKIE TransactionsRequires access

Extracted Fatigue Damaging Events Using the Morlet Wavelet-based Algorithm

Teuku Edisah Putra, Shahrum Abdullah, Mohd Z Nuawi, Z. M. Nopiah, Lenni Abdullah, Azli Arifin

Open publisher page 1 citations

Abstract

This paper presents an algorithm for wavelet coefficient extraction for fatigue strain signal editing based on the Morlet wavelet parameter. In 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 /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. In 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.

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What this paper is about

This paper presents an algorithm for wavelet coefficient extraction for fatigue strain signal editing based on the Morlet wavelet parameter. In 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 /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. In 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.

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Available abstract

This paper presents an algorithm for wavelet coefficient extraction for fatigue strain signal editing based on the Morlet wavelet parameter. In 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 /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. In 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.

Key concepts: Morlet wavelet, SIGNAL (programming language), Wavelet, Wavelet transform, Algorithm, Engineering, Computer science, Structural engineering

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