The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 28-830
Full Name: Shahrum Abdullah
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor
Country: MALAYSIA
Tel: +60-3-89216518
Tel prefix:
Fax:
E-mail address: shahrum1@gmail.com
Other E-mails: shahrum@eng.ukm.my
Title of the Paper: Peak-Valley Segmentation Algorithm for Fatigue Time Series Data
Authors as they appear in the Paper: Z. M. Nopiah, M. I. Khairir, S. Abdullah, C. K. E. Nizwan
Email addresses of all the authors: zmn@eng.ukm.my, mihsankk@eng.ukm.my, shahrum@eng.ukm.my
Number of paper pages: 10
Abstract: This paper presents the peak-valley (PV) segmentation algorithm for the purpose of producing a reliable method of fatigue time series segmentation and statistical segment-by-segment analysis of fatigue damage. The time series were segmented using a piecewise linear representation (PLR) based segmentation algorithm and consecutively the peak-valley (PV) segmentation algorithm. Statistical 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. Observations were made on the scatter plots produced by the PV segmentation algorithm to determine the reliability of the data scattering for fatigue data clustering prospects.
Keywords: Time series, Segmentation, Peak-valley, Data scattering, Kurtosis, Fatigue damage
EXTENSION of the file: .pdf
Special (Invited) Session: Peak-Valley Segmentation Algorithm for Fatigue Time Series Data
Organizer of the Session: 605-379
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