Document Type

Article

Publication Date

5-1-2011

Publication Title

Annals of Nuclear Energy

Volume

38

Issue

5

First Page

1161

Keywords

Bagging, BWR nuclear power plant, Classification, Ensemble, Fuzzy C-means (FCM) clustering, Transient identification

Last Page

1171

Abstract

This paper presents an ensemble-based scheme for nuclear transient identification. The approach adopted to construct the ensemble of classifiers is bagging; the novelty consists in using supervised fuzzy C-means (FCM) classifiers as base classifiers of the ensemble. The performance of the proposed classification scheme has been verified by comparison with a single supervised, evolutionary-optimized FCM classifier with respect of the task of classifying artificial datasets. The results obtained indicate that in the cases of datasets of large or very small sizes and/or complex decision boundaries, the bagging ensembles can improve classification accuracy. Then, the approach has been applied to the identification of simulated transients in the feedwater system of a boiling water reactor (BWR).

DOI

10.1016/j.anucene.2010.12.009

ISSN

03064549

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