Peak-Valley segmentation algorithm for kurtosis analysis and classification of fatigue time series data

Zulkifli Mohd Nopiah, Muhammad Ihsan Khairir, Shahrum Abdullah, Che Ku Eddy Nizwan, Mohd Noor Baharin

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This paper presents the Peak-Valley (PV) segmentation algorithm for the purpose of producing a more reliable method of fatigue time series segmentation and statistical segment-by-segment analysis of fatigue damage. Each time series was represented in a Piecewise Linear Representation (PLR) before it was inputted into the PV segmentation algorithm, which produces segments that each has an overall peak. Kurtosis analysis and fatigue damage calculations were made on each segment and scatter plots were produced based on the relationship between segmental damage and its corresponding kurtosis value. Comparisons between scatter plots produced by a standard PLR-based segmentation algorithm and the PV improved algorithm were made to identify any improvements in the data scattering.

Original languageEnglish
Pages (from-to)113-125
Number of pages13
JournalEuropean Journal of Scientific Research
Volume29
Issue number1
Publication statusPublished - 2009

Fingerprint

Kurtosis
Time Series Data
fatigue
Fatigue
segmentation
Time series
time series analysis
valleys
Segmentation
Fatigue of materials
time series
Scatter diagram
valley
Fatigue Damage
Linear Representation
Fatigue damage
Piecewise Linear
damage
Damage
scattering

Keywords

  • Data scattering
  • Fatigue damage
  • Kurtosis
  • Peak-valley
  • Segmentation
  • Time series

ASJC Scopus subject areas

  • General

Cite this

Peak-Valley segmentation algorithm for kurtosis analysis and classification of fatigue time series data. / Mohd Nopiah, Zulkifli; Khairir, Muhammad Ihsan; Abdullah, Shahrum; Nizwan, Che Ku Eddy; Baharin, Mohd Noor.

In: European Journal of Scientific Research, Vol. 29, No. 1, 2009, p. 113-125.

Research output: Contribution to journalArticle

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