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http://dx.doi.org/10.9766/KIMST.2014.17.5.611

Single Sample Grouping Methodology using Combining Data  

Back, Seungjun (Department of Mechanical & Automotive Engineering, Andong National University)
Son, Youngkap (Department of Mechanical & Automotive Engineering, Andong National University)
Lee, Seungyoung (R&D Team, Vitzromiltech Co., Ltd.)
Ahn, Mahnki (Daejeon Center, Defense Agency for Technology and Quality)
Kim, Cheongsig (Daejeon Center, Defense Agency for Technology and Quality)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.17, no.5, 2014 , pp. 611-619 More about this Journal
Abstract
Combining similar data provides larger data sets through conducting test for homogeneity of several samples under various production processes or samples from different LOTs. The test for homogeneity has been applied to either variable or attribute data, and for variable data set physical homogeneity has been tested without consideration of the specification to the set. This paper proposes a method for test of homogeneity based on quality level through using both variable data and the specification. Quality-based test for homogeneity as a way of combining data is implemented by test for coefficient of variation in the proposed method. The method was verified through the application to the data set in open literature. And possibility to combine performance data for various types of thermal battery was discussed in order to estimate operation reliability.
Keywords
Combining Data; Coefficient of Variation; Test for Homogeneity; Thermal Battery; Reliability;
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