Evolution-based uncertainty design for artificial systems

DOI

10.2991/icadme-15.2015.47How to use a DOI?

Keywords

Evolution-Based Uncertainty Design (EBUD); Reliability Design; Ito Lemma; Artificial System

Abstract

The effect of uncertainty and its evolution with time on the system reliability design are investigated in this paper. The system design variables are modeled in Geometric Brownian Motions which using the drift rate and diffusion rate to describe the evolution-based uncertainty of variables. Based on Ito Lemma, the system performance composed with these variables can also be expressed with drift function and diffusion function. Using mathematic transformation for the time series data of each variables, the drift function and diffusion function of the system can be calculated to reflect the system performance evolution uncertainty characteristic. The system evolution-based uncertainty reliability is defined as the probability function of system performance output and allowable performance output. Evolution-based uncertainty design method is developed in which the system can be designed with the specified reliability value at the given time period. The example results show the effectiveness of the proposed method on dealing with the system evolution-based uncertainty.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Boqiang Shi
AU  - Yanhua Shen
PY  - 2015/10
DA  - 2015/10
TI  - Evolution-based uncertainty design for artificial systems
BT  - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
PB  - Atlantis Press
SP  - 234
EP  - 241
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-15.2015.47
DO  - 10.2991/icadme-15.2015.47
ID  - Shi2015/10
ER  -