Efficient statistical tolerance analysis for general distributions using three-point information

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The experimental design technique in the literature, which has been limited only to normally distributed random variables, is extended to handle non-normal cases. It is easy to implement and provides good results for the moments of system response functions compared with other traditional methods. It is based on the three-level Taguchi method, and optimum levels and weights to handle non-normal distributions are derived. A systematic procedure for tolerance analysis is then proposed by using the Pearson system. Numerical results for non-linear examples are shown to be very accurate in comparison with those from Monte Carlo simulations and the first-order reliability method.
Publisher
TAYLOR FRANCIS LTD
Issue Date
2002-03
Language
English
Article Type
Article
Keywords

DESIGN

Citation

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.40, no.4, pp.931 - 944

ISSN
0020-7543
URI
http://hdl.handle.net/10203/86040
Appears in Collection
ME-Journal Papers(저널논문)
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