A study on fatigue time series using cross correlation function

1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.

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Main Authors: Lennie, Abdul, S., Abdullah, Mohd Nopiah, Z., M. N., Baharin
Other Authors: lenny_abdul@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2010
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10328
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spelling my.unimap-103282010-11-28T02:16:38Z A study on fatigue time series using cross correlation function Lennie, Abdul S., Abdullah Mohd Nopiah, Z. M. N., Baharin lenny_abdul@yahoo.com Fatigue Time series Variable amplitude loading Cross correlation function Regional Conference on Applied and Engineering Mathematics (RCAEM) 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang. This paper presents the analysis on variable amplitude (VA) loading strains data using cross correlation function (CCF). CCF is a method to measure a similarity of two fatigue time series as a function of a time-lag applied to one of them. Cross correlation is generally used when measuring information between two different time series. The objective of this study is to observe the capability of this method in detecting the similarity of signal pattern between two critical stress points, a set of case study data consist of nonstationary VA loading strains data that exhibits a random behaviour was used. This random data was collected in the unit of microstrain on the lower suspension arm of a mid-sized sedan car. The data was repetitively measured for 60 seconds at the sampling rate of 500 Hz, which gave 30,000 discrete data points, travelling on a pave road and highway route. The collected data was then calculated and analysed using CCF. Higher calculated cross correlation coefficient value was then selected to analyse the fatigue analysis for further study. 2010-11-28T02:16:38Z 2010-11-28T02:16:38Z 2010-06-02 Working Paper Vol.4(9), p.401-405 http://hdl.handle.net/123456789/10328 en Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 Universiti Malaysia Perlis (UniMAP) Institut Matematik Kejuruteraan
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Fatigue
Time series
Variable amplitude loading
Cross correlation function
Regional Conference on Applied and Engineering Mathematics (RCAEM)
spellingShingle Fatigue
Time series
Variable amplitude loading
Cross correlation function
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Lennie, Abdul
S., Abdullah
Mohd Nopiah, Z.
M. N., Baharin
A study on fatigue time series using cross correlation function
description 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.
author2 lenny_abdul@yahoo.com
author_facet lenny_abdul@yahoo.com
Lennie, Abdul
S., Abdullah
Mohd Nopiah, Z.
M. N., Baharin
format Working Paper
author Lennie, Abdul
S., Abdullah
Mohd Nopiah, Z.
M. N., Baharin
author_sort Lennie, Abdul
title A study on fatigue time series using cross correlation function
title_short A study on fatigue time series using cross correlation function
title_full A study on fatigue time series using cross correlation function
title_fullStr A study on fatigue time series using cross correlation function
title_full_unstemmed A study on fatigue time series using cross correlation function
title_sort study on fatigue time series using cross correlation function
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10328
_version_ 1643789812308639744
score 13.214268