Fatigue feature classification for automotive strain data

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Fatigue feature classification for automotive strain data

Fatigue strain signal were analysed using data segmentation and data clustering. For data segmentation, value of fatigue damage and global statistical signal analysis such as kurtosis was obtained using specific software. Data clustering were carried out using K-Mean clustering approaches. The objec...

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Bibliographic Details
Main Authors:	M. F. M., Yunoh, S., Abdullah, Z. M., Nopiah, M. Z., Nuawi, Nurazima, Ismail
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/25272/ http://umpir.ump.edu.my/id/eprint/25272/1/Fatigue%20feature%20classification%20for%20automotive%20strain%20data.pdf

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