Statistical Analysis for Design Improvement of Wheels | ||||
Author | Zhi-Sheng Ye
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Co-Author(s) | Jian-Guo Li; Min Xie
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Abstract | The mechanical properties of wheels vary among the wheel population. The variation comes from two sources, i.e., within-model variation and between-model variation. It is qualitatively known that different wheel models have different shapes, which affect the mechanical properties of the wheels. The between-model variation is thus captured by the shapes of different wheel models and the within-model variation is captured by a random noise. Principal component regression is used to estimate the parameters and the results are interpreted using engineering knowledge.
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Keywords | Wheel design, multicollinearity, principal component regression | |||
Article #: 19131 |
August 5-7, 2013 - Honolulu, Hawaii, U.S.A. |