Segmentation and scattering of fatigue time series data by kurtosis and root mean square

Authors:
Z. M. Nopiah;M. I. Khairir;S. Abdullah
Affiliations:
Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Venue:
SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing
Year:
2008

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Abstract

This paper presents the method of classifying and scattering of fatigue data by time series segmentation and segment-by-segment analysis of fatigue damage based on its relation with segmental kurtosis and root mean square (r.m.s.) values. The time series was segmented using piecewise linear representation (PLR) based segmentation algorithms. Statistical analysis and fatigue damage calculation was made on each segment of the time series and patterns of data scatteringwere identified based on the plots of relationship between segmental damage and its corresponding kurtosis and/or root mean square. The information gained from the data scattering could then be made useful for fatigue data scattering and editing.