Fatigue feature classification for automotive strain data

• 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/25272/1/Fatigue%20feature%20classification%20for%20automotive%20strain%20data.pdf; http://umpir.ump.edu.my/id/eprint/25272/; https://doi.org/10.1088/1757-899X/36/1/012031

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...