Fatigue Features Extraction of Road Load Time Data Using the S-Transform

This paper presents the algorithm development of a new fatigue data editing technique using S-T approach. In general, the S-transform (S-T) is a time-frequency spectral localization method which performs a multi-resolution analysis on signal. This method represents a better time-frequency resolution...

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Main Authors:	S., Abdullah, Che Ku Eddy Nizwan, Che Ku Husin, M. F. M., Yunoh, M. Z., Nuawi, Z. M., Nopiah
Format:	Article
Published:	Springer 2013
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/6664/ http://umpir.ump.edu.my/id/eprint/6664/ http://umpir.ump.edu.my/id/eprint/6664/

id	ump-6664
recordtype	eprints
spelling	ump-66642016-05-17T01:21:44Z http://umpir.ump.edu.my/id/eprint/6664/ Fatigue Features Extraction of Road Load Time Data Using the S-Transform S., Abdullah Che Ku Eddy Nizwan, Che Ku Husin M. F. M., Yunoh M. Z., Nuawi Z. M., Nopiah TJ Mechanical engineering and machinery This paper presents the algorithm development of a new fatigue data editing technique using S-T approach. In general, the S-transform (S-T) is a time-frequency spectral localization method which performs a multi-resolution analysis on signal. This method represents a better time-frequency resolution especially for non-stationary signal analysis. This technique was developed to produce shortened fatigue data for fatigue durability testing. The S-T method was applied to detect the damaging events contained in the fatigue signals due to high S-T spectrum location. The damaging events were extracted from an original fatigue signal to produce the shortened edited signal which has equivalent fatigue damage. Three types of road load fatigue data were used for simulation purpose, pave track, highway and country road. In this study, an algorithm was developed, to detect the damaging events in the original fatigue signal. The algorithm can be used to extract the fatigue damaging events and these events were combined in order to produce a new edited signal which neglect the low amplitude cycles. The edited signal consists of the majority of the original fatigue damage in the shortened signal with 15–25% time reduction. Thus, it has been suggested that this shortened signal can then be used in the laboratory fatigue testing for the purpose of accelerated fatigue testing Springer 2013 Article PeerReviewed S., Abdullah and Che Ku Eddy Nizwan, Che Ku Husin and M. F. M., Yunoh and M. Z., Nuawi and Z. M., Nopiah (2013) Fatigue Features Extraction of Road Load Time Data Using the S-Transform. International Journal of Automotive Technology, 14 (5). pp. 805-815. ISSN 1229-9138 http://dx.doi.org/10.1007/s12239-013-0089-9 DOI: 10.1007/s12239-013-0089-9
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery S., Abdullah Che Ku Eddy Nizwan, Che Ku Husin M. F. M., Yunoh M. Z., Nuawi Z. M., Nopiah Fatigue Features Extraction of Road Load Time Data Using the S-Transform
description	This paper presents the algorithm development of a new fatigue data editing technique using S-T approach. In general, the S-transform (S-T) is a time-frequency spectral localization method which performs a multi-resolution analysis on signal. This method represents a better time-frequency resolution especially for non-stationary signal analysis. This technique was developed to produce shortened fatigue data for fatigue durability testing. The S-T method was applied to detect the damaging events contained in the fatigue signals due to high S-T spectrum location. The damaging events were extracted from an original fatigue signal to produce the shortened edited signal which has equivalent fatigue damage. Three types of road load fatigue data were used for simulation purpose, pave track, highway and country road. In this study, an algorithm was developed, to detect the damaging events in the original fatigue signal. The algorithm can be used to extract the fatigue damaging events and these events were combined in order to produce a new edited signal which neglect the low amplitude cycles. The edited signal consists of the majority of the original fatigue damage in the shortened signal with 15–25% time reduction. Thus, it has been suggested that this shortened signal can then be used in the laboratory fatigue testing for the purpose of accelerated fatigue testing
format	Article
author	S., Abdullah Che Ku Eddy Nizwan, Che Ku Husin M. F. M., Yunoh M. Z., Nuawi Z. M., Nopiah
author_facet	S., Abdullah Che Ku Eddy Nizwan, Che Ku Husin M. F. M., Yunoh M. Z., Nuawi Z. M., Nopiah
author_sort	S., Abdullah
title	Fatigue Features Extraction of Road Load Time Data Using the S-Transform
title_short	Fatigue Features Extraction of Road Load Time Data Using the S-Transform
title_full	Fatigue Features Extraction of Road Load Time Data Using the S-Transform
title_fullStr	Fatigue Features Extraction of Road Load Time Data Using the S-Transform
title_full_unstemmed	Fatigue Features Extraction of Road Load Time Data Using the S-Transform
title_sort	fatigue features extraction of road load time data using the s-transform
publisher	Springer
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6664/ http://umpir.ump.edu.my/id/eprint/6664/ http://umpir.ump.edu.my/id/eprint/6664/
first_indexed	2023-09-18T22:02:38Z
last_indexed	2023-09-18T22:02:38Z
_version_	1777414500482285568

Fatigue Features Extraction of Road Load Time Data Using the S-Transform

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