Simulation Methods for the Analysis of Complex Systems

Date

2021-12-10

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Springer

Type

Book chapter

Peer reviewed

Yes

Abstract

Everyday systems like communication, transportation, energy and industrial systems are an indispensable part of our daily lives. Several methods have been developed for their reliability assessment—while analytical methods are computationally more efficient and often yield exact solutions, they are unable to account for the structural and functional complexities of these systems. These complexities often require the analyst to make unrealistic assumptions, sometimes at the expense of accuracy. Simulation-based methods, on the other hand, can account for these realistic operational attributes but are computationally intensive and usually system-specific. This chapter introduces two novel simulation methods: load flow simulation and survival signature simulation which together address the limitations of the existing analytical and simulation methods for the reliability analysis of large systems.

Description

open access book

Keywords

System Reliability, Complex Systems, Monte Carlo Simulation, Uncertainty Quantification

Citation

George-Williams, H., Santhosh, T.V., Patelli, E. (2022) Simulation Methods for the Analysis of Complex Systems. In: Aslett, L.J.M., Coolen, F.P.A., De Bock, J. (eds) Uncertainty in Engineering. SpringerBriefs in Statistics. Springer, Cham.

Rights

Research Institute

Institute of Energy and Sustainable Development (IESD)