Systems Failure Analysis
Chapter 17: Design of Experiments
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Published:2009
Abstract
After the failure analysis team hypothesizes failure causes, prepares a failure mode assessment and assignment, and evaluates all potential failure causes, it may find in some cases that several causes are still suspect but cannot be confirmed. In this situation, an experiment is necessary to confirm or rule out suspected causes. This chapter discusses two predominant methods for doing this, namely analysis of variance (ANOVA) and Taguchi methods (a more powerful technique based on ANOVA).
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Member Sign InDesign of Experiments, Systems Failure Analysis, By Joseph Berk, ASM International, 2009, p 171–181, https://doi.org/10.31399/asm.tb.sfa.t52780171
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