This paper presents effective methodologies for reliability assessment of electromagnetic devices and systems. To achieve the goal, the
first-order reliability method and the moment method are adopted to deal with probabilistic constraints taking uncertainties of design
variables into account. The proposed methods are applied to the TEAM Workshop Problem 22 and the results are compared to those
of Monte Carlo simulation in terms of accuracy and efficiency. The robustness of three different designs (initial design, deterministic
optimum and robust optimum) is assessed from the reliability point of view. Among them, it is shown that the robust optimum is the best
design which has a high reliability to two probabilistic constraints considered.
dc.language
eng
dc.relation.ispartofseries
IEEE transactions on magnetics
dc.title
Applying Reliability Assessment Methods to SMES Designs