A study on validation of fatigue damage clustering analysis technique based on clustering validation index

M. N. Baharin, Zulkifli Mohd Nopiah, Shahrum Abdullah, M. S M Noor

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

1 Citation (Scopus)

Abstract

This paper presents the comparative study on two types of the clustering technique for decomposing Variable Amplitude (VA) loadings signals based on its amplitude. These two techniques are used to recognize clusters or patterns of fatigue damaging events in the record which will bring aboutthe majority of fatigue damage. However, one of the problems that existswhencomparing which technique will produce better clusters is the fact thata clustering validation index isneeded. In this study, techniques that were used were the Fuzzy C-means and C-means. At first, the VA data weresegmented using the Running Damage Extraction (RDE) technique. Then, each segment produced wasanalysed using the strain life approach and global statistical signal values. Finally, the accuracy of each clustering technique wasmeasured based on the OV coefficient index. From the study, the index shows that the Fuzzy C-means technique produced much better clusters rather than the C-mean clustering technique.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
Pages140-144
Number of pages5
Volume165
DOIs
Publication statusPublished - 2012
EventRegional Conference on Automotive Research, ReCAR 2011 - Kuala Lumpur
Duration: 14 Dec 201115 Dec 2011

Publication series

NameApplied Mechanics and Materials
Volume165
ISSN (Print)16609336
ISSN (Electronic)16627482

Other

OtherRegional Conference on Automotive Research, ReCAR 2011
CityKuala Lumpur
Period14/12/1115/12/11

Fingerprint

Fatigue damage
Fatigue of materials

Keywords

  • C-means
  • Clustering
  • Fatigue damage
  • Fuzzy c-means
  • Running Damage Extraction (RDE)
  • Segmentation

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Baharin, M. N., Mohd Nopiah, Z., Abdullah, S., & Noor, M. S. M. (2012). A study on validation of fatigue damage clustering analysis technique based on clustering validation index. In Applied Mechanics and Materials (Vol. 165, pp. 140-144). (Applied Mechanics and Materials; Vol. 165). https://doi.org/10.4028/www.scientific.net/AMM.165.140

A study on validation of fatigue damage clustering analysis technique based on clustering validation index. / Baharin, M. N.; Mohd Nopiah, Zulkifli; Abdullah, Shahrum; Noor, M. S M.

Applied Mechanics and Materials. Vol. 165 2012. p. 140-144 (Applied Mechanics and Materials; Vol. 165).

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

Baharin, MN, Mohd Nopiah, Z, Abdullah, S & Noor, MSM 2012, A study on validation of fatigue damage clustering analysis technique based on clustering validation index. in Applied Mechanics and Materials. vol. 165, Applied Mechanics and Materials, vol. 165, pp. 140-144, Regional Conference on Automotive Research, ReCAR 2011, Kuala Lumpur, 14/12/11. https://doi.org/10.4028/www.scientific.net/AMM.165.140
Baharin, M. N. ; Mohd Nopiah, Zulkifli ; Abdullah, Shahrum ; Noor, M. S M. / A study on validation of fatigue damage clustering analysis technique based on clustering validation index. Applied Mechanics and Materials. Vol. 165 2012. pp. 140-144 (Applied Mechanics and Materials).
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