Presentation 2010-02-15
A Statistical Method of Small Iddq Variance Outlier Detection
Yoshiyuki NAKAMURA, Masashi TANAKA,
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Abstract(in English) With manufacturing process advances, Iddq test becomes difficult due to its variance. Though ΔIddq or various methods were proposed to overcome it, Iddq testing is still difficult because the factor of Iddq variance is increasing and the most of faults affect only small Iddq differences. In this paper, we propose Iddq testing using Mahalanobis distance to identify outliers of multi-dimensional Iddq variance. We also report the evaluation results of our method using real manufacturing data.
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Keyword(in English) Iddq test / Statistical test / adaptive test / Mahalanobis distance
Paper # DC2009-65
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Conference Date 2010/2/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Statistical Method of Small Iddq Variance Outlier Detection
Sub Title (in English)
Keyword(1) Iddq test
Keyword(2) Statistical test
Keyword(3) adaptive test
Keyword(4) Mahalanobis distance
1st Author's Name Yoshiyuki NAKAMURA
1st Author's Affiliation Test and Analysis Engineering Division, Manufacturing Operations Unit NEC Electronics Corporation()
2nd Author's Name Masashi TANAKA
2nd Author's Affiliation Test and Analysis Engineering Division, Manufacturing Operations Unit NEC Electronics Corporation
Date 2010-02-15
Paper # DC2009-65
Volume (vol) vol.109
Number (no) 416
Page pp.pp.-
#Pages 5
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