Application of the wavelet transforms for compressing lower suspension arm strain data

Teuku Edisah Putra, Shahrum Abdullah, Dieter Schramm, Mohd. Zaki Nuawi, Tobias Bruckmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the ability of the wavelet transforms for compressing automobile strain data. The wavelet transforms identified and extracted higher amplitude segments and produced shorter edited signals. Based on the comparison of the edited signals resulted, it was found that the Morlet wavelet gave the shortest signals. It was able to summarize strain signals up to 77% and maintain more than 90% of the statistical parameters and the fatigue damage. Meanwhile the continuous and discrete Daubechies wavelet transforms summarized the signals below 60%. It proved that the Morlet wavelet was the best technique for fatigue data editing, especially for the automotive applications.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
PublisherTrans Tech Publications Ltd
Pages78-82
Number of pages5
Volume663
ISBN (Print)9783038352617
DOIs
Publication statusPublished - 2014
Event2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013 - Kuala Lumpur
Duration: 16 Dec 201318 Dec 2013

Publication series

NameApplied Mechanics and Materials
Volume663
ISSN (Print)16609336
ISSN (Electronic)16627482

Other

Other2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013
CityKuala Lumpur
Period16/12/1318/12/13

Fingerprint

Wavelet transforms
Discrete wavelet transforms
Fatigue damage
Automobiles
Fatigue of materials

Keywords

  • Editing
  • Fatigue
  • Statistics
  • Wavelet

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Putra, T. E., Abdullah, S., Schramm, D., Nuawi, M. Z., & Bruckmann, T. (2014). Application of the wavelet transforms for compressing lower suspension arm strain data. In Applied Mechanics and Materials (Vol. 663, pp. 78-82). (Applied Mechanics and Materials; Vol. 663). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.663.78

Application of the wavelet transforms for compressing lower suspension arm strain data. / Putra, Teuku Edisah; Abdullah, Shahrum; Schramm, Dieter; Nuawi, Mohd. Zaki; Bruckmann, Tobias.

Applied Mechanics and Materials. Vol. 663 Trans Tech Publications Ltd, 2014. p. 78-82 (Applied Mechanics and Materials; Vol. 663).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Putra, TE, Abdullah, S, Schramm, D, Nuawi, MZ & Bruckmann, T 2014, Application of the wavelet transforms for compressing lower suspension arm strain data. in Applied Mechanics and Materials. vol. 663, Applied Mechanics and Materials, vol. 663, Trans Tech Publications Ltd, pp. 78-82, 2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013, Kuala Lumpur, 16/12/13. https://doi.org/10.4028/www.scientific.net/AMM.663.78
Putra TE, Abdullah S, Schramm D, Nuawi MZ, Bruckmann T. Application of the wavelet transforms for compressing lower suspension arm strain data. In Applied Mechanics and Materials. Vol. 663. Trans Tech Publications Ltd. 2014. p. 78-82. (Applied Mechanics and Materials). https://doi.org/10.4028/www.scientific.net/AMM.663.78
Putra, Teuku Edisah ; Abdullah, Shahrum ; Schramm, Dieter ; Nuawi, Mohd. Zaki ; Bruckmann, Tobias. / Application of the wavelet transforms for compressing lower suspension arm strain data. Applied Mechanics and Materials. Vol. 663 Trans Tech Publications Ltd, 2014. pp. 78-82 (Applied Mechanics and Materials).
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