TY - JOUR
T1 - How to Compute the Information Content of 3-FR, 3-DP Decoupled Designs with Uniform Probability Density Functions for Their FRs
AU - Fradinho, João
AU - Cavique, Miguel
AU - Gabriel-Santos, António
AU - Mourão, António
AU - Gonçalves-Coelho, António
PY - 2017/10/9
Y1 - 2017/10/9
N2 - 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.
AB - 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.
KW - Computational geometry
KW - Large scale systems
KW - Probability
KW - Probability distributions
UR - http://www.scopus.com/inward/record.url?scp=85031662564&partnerID=8YFLogxK
U2 - 10.1051/matecconf/201712701004
DO - 10.1051/matecconf/201712701004
M3 - Article
AN - SCOPUS:85031662564
SN - 2261-236X
VL - 127
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 01004
T2 - 11th International Conference on Axiomatic Design, ICAD 2017
Y2 - 13 September 2017 through 15 September 2017
ER -