Fatigue data analysis using continuous wavelet transform and discrete wavelet transform

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

1 Citation (Scopus)

Abstract

The wavelet transform is well known for its ability in vibration analysis in fault detection. This paper presents the ability of wavelet transform in fatigue data analysis starts from high amplitude events detection and it is then followed by fatigue data extraction based on wavelet coefficients. Since the wavelet transform has two main categories, i.e. the continuous wavelet transforms (CWT) and the discrete wavelet transform (DWT), the comparison study were carried out in order to investigate performance of both wavelet for fatigue data analysis. CWT represents by the Morlet wavelet while DWT with the form of the 4th Order Daubechies wavelet (Db4) was also used for the analysis. An analysis begins with coefficients plot using the time-scale representation that associated to energy coefficients plot for the input value in fatigue data extraction. Ten extraction levels were used and all levels gave the damage difference, (%ΔD) less than 10% with respect to original signal. From the study, both wavelet transforms gave almost similar ability in editing fatigue data but the Morlet wavelet provided faster analysis time compared to the Db4 wavelet. In comparison to have the value of different at 5%, the Morlet wavelet achieved at L= 5 while the Db4 wavelet at L=7. Even though it gave slower analysis time, both wavelets can be used in fatigue data editing but at different time consuming.

Original languageEnglish
Title of host publicationKey Engineering Materials
Pages461-466
Number of pages6
Volume462-463
DOIs
Publication statusPublished - 2011
Event8th International Conference on Fracture and Strength of Solids 2010, FEOFS2010 - Kuala Lumpur
Duration: 7 Jun 20109 Jun 2010

Publication series

NameKey Engineering Materials
Volume462-463
ISSN (Print)10139826

Other

Other8th International Conference on Fracture and Strength of Solids 2010, FEOFS2010
CityKuala Lumpur
Period7/6/109/6/10

Fingerprint

Discrete wavelet transforms
Wavelet transforms
Fatigue of materials
Vibration analysis
Fault detection

Keywords

  • Continuous wavelet
  • Daubechies
  • Discrete wavelet
  • Fatigue data extraction
  • Morlet

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Abdullah, S., Sahadan, S. N., Nuawi, M. Z., & Mohd Nopiah, Z. (2011). Fatigue data analysis using continuous wavelet transform and discrete wavelet transform. In Key Engineering Materials (Vol. 462-463, pp. 461-466). (Key Engineering Materials; Vol. 462-463). https://doi.org/10.4028/www.scientific.net/KEM.462-463.461

Fatigue data analysis using continuous wavelet transform and discrete wavelet transform. / Abdullah, Shahrum; Sahadan, S. N.; Nuawi, Mohd. Zaki; Mohd Nopiah, Zulkifli.

Key Engineering Materials. Vol. 462-463 2011. p. 461-466 (Key Engineering Materials; Vol. 462-463).

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

Abdullah, S, Sahadan, SN, Nuawi, MZ & Mohd Nopiah, Z 2011, Fatigue data analysis using continuous wavelet transform and discrete wavelet transform. in Key Engineering Materials. vol. 462-463, Key Engineering Materials, vol. 462-463, pp. 461-466, 8th International Conference on Fracture and Strength of Solids 2010, FEOFS2010, Kuala Lumpur, 7/6/10. https://doi.org/10.4028/www.scientific.net/KEM.462-463.461
Abdullah, Shahrum ; Sahadan, S. N. ; Nuawi, Mohd. Zaki ; Mohd Nopiah, Zulkifli. / Fatigue data analysis using continuous wavelet transform and discrete wavelet transform. Key Engineering Materials. Vol. 462-463 2011. pp. 461-466 (Key Engineering Materials).
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