Selecting proper reliability analysis algorithm for reliability-based optimal design of electromagnetic devices

Author

Ziyan Ren ; Chang-Seop Koh

Author_Institution

Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China

fYear

2014

fDate

March 31 2014-April 1 2014

Firstpage

1

Lastpage

2

Abstract

In order to select proper reliability analysis method for engineering problem, this paper presents a comparative study on different algorithms for reliability analysis. For the accuracy improvement of the sensitivity-assisted Monte Carlo simulation (SA-MCS) method, the second-order derivatives are incorporated with the finite element method. Finally, performances of the SA-MCS method and conventional reliability index approach, performance measure approach are investigated through applications to analytic example and superconducting magnetic energy storage (SMES) system.

Keywords

Monte Carlo methods; design engineering; finite element analysis; reliability; superconducting magnet energy storage; SA-MCS method; SMES system; electromagnetic devices; finite element method; reliability analysis algorithm; reliability index approach; reliability- based optimal design; second-order derivative; sensitivity-assisted Monte Carlo simulation method; superconducting magnetic energy storage system; Constraint feasibility; finite element method; reliability calculation; uncertainty;

fLanguage

English

Publisher

iet

Conference_Titel

Computation in Electromagnetics (CEM 2014), 9th IET International Conference on

Conference_Location

London

Electronic_ISBN

978-1-84919-817-2

Type

conf

DOI

10.1049/cp.2014.0218

Filename

6826847