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...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/25272/ 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 |