DocumentCode :
149069
Title :
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
Link To Document :
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