Evolution-based uncertainty design for artificial systems
- 10.2991/icadme-15.2015.47How to use a DOI?
- Evolution-Based Uncertainty Design (EBUD); Reliability Design; Ito Lemma; Artificial System
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.
- © 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/).
Cite this article
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 -