Analysis of the Effect of Manufacturing Tolerance on Induction Motor Performance by Univariate Dimension Reduction Method Lee, Sang-Kyun; Kang, Byung-Su; Back, Jong Hyun; Kim, Dong-Hun;
This paper introduces a probabilistic analysis method in order to analyze the effect of manufacturing tolerance on induction motor performance occurring in massive production. The univariate dimension reduction method is adapted to predict probabilistic characteristics of a performance function due to certain probabilistic distributions of design variables. Moreover, the sensitivity information on mean and variance of the performance function is estimated, and then the effect of randomness of individual design variables on the probability performance function is analyzed. The effectiveness and accuracy of the method is investigated with a mathematical model and an induction motor.
Prediction of Probabilistic Distribution of a Loudspeaker's Performance Due to Manufacturing Tolerances by Performance Moment Integration Method, Journal of the Korean Magnetics Society, 2016, 26, 3, 81
D. Kim, Ph. D. Thesis, Kyungpook National University, Korea (2014).
B. Ju, Ph. D. Thesis, Kore Advanced Institute of Science and Technology, Korea (2008).
S. Rahman and H. Xu, Probab. Eng. Mech. 19, 393 (2004).
I. Lee, K. Choi, and L. Do, David Gorsich, IEEE Trans. Magn. 86, 1550 (2008).
S. Lee and W. Chen, Struct Multidisc Optim. 37, 239 (2009).
S. H. Lee and B. M. Kwak, Struct. Multidisc. Optim. 39, 227 (2009).
D. Kim, N. Choi, C. Lee, and D.-H. Kim, IEEE Trans. Magn. 51, 3 (2015).
A. Haldar and S. Mahadevan, Probability, Reliability, and Statistical Method in Engineering Design, Jogn Wiley & Sons, Now York (2000).
K. J. Park, D. H. Koo, and J. Lee, Int. Conf. ICEMS 61 (2008).
A. E. Fitzgerald, C. Kingsley Jr., and S. D. Umans, Electric Machinery, McGraw-Hill, Now York (2003).