Fatigue Feature Extraction Analysis based on a K-Means Clustering Approach
This paper focuses on clustering analysis using a K-means approach for fatigue feature dataset extraction. The aim of this study is to group the dataset as closely as possible (homogeneity) for the scattered dataset. Kurtosis, the wavelet-based energy coefficient and fatigue damage are calculated fo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2015-06-01
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| Series: | Journal of Mechanical Engineering and Sciences |
| Subjects: | |
| Online Access: | http://jmes.ump.edu.my/images/Volume%208%20June%202015/2_Yunoh%20et%20al.pdf |