How to Compute the Information Content of 3-FR, 3-DP Decoupled Designs with Uniform Probability Density Functions for Their FRs

Research output: Contribution to journalArticle

Abstract

The computation of the information content of decoupled designs implies the use of conditional probability, because the existing design parameters must be adjusted in a certain order, as to fulfil all the existing functional requirements at the first trial. Nevertheless, the computation of the information content is hard to perform when the system range of the functional requirements is denoted by probability density functions. In their works, Suh and Park proposed a graphical method to compute the information content of 2-FR, 2-DP decoupled designs when the probability density functions of the FRs are uniform. This paper introduces an extension to the Suh and Park's previous findings. It presents a method that uses analytical and descriptive geometry techniques to compute the information content of 3-FR, 3-DP decoupled designs with uniform probability density distributions of their FRs, and an illustrative example is presented as well.

Original languageEnglish
Article number01004
Number of pages7
JournalMATEC Web of Conferences
Volume127
DOIs
Publication statusPublished - 9 Oct 2017
Event11th International Conference on Axiomatic Design, ICAD 2017 - , Romania
Duration: 13 Sep 201715 Sep 2017

Keywords

  • Computational geometry
  • Large scale systems
  • Probability
  • Probability distributions

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