A dynamic ordered concept lattice based algorithm for early diagnosis of NPP faults

Xie, Chunli, Elmarakbi, Ahmed, Liu, Yongkuo and Zhang, Jizhou (2016) A dynamic ordered concept lattice based algorithm for early diagnosis of NPP faults. Progress in Nuclear Energy, 92. pp. 22-28. ISSN 0149-1970

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.pnucene.2016.06.001

Abstract

In this paper, a dynamic ordered concept lattice-based algorithm is developed by building up an ordered concept lattice using the theory of concept lattice, and proposed for early diagnosis of NPP faults. The effectiveness of the proposed algorithm in identifying NPP faults is verified through simulation tests. Test results indicate that, compared with other methods such as BP neural network, the proposed algorithm can be used to achieve early diagnosis of NPP faults within shorter time.

Item Type: Article
Uncontrolled Keywords: Dynamic ordered concept lattice based method, Early diagnosis, Nuclear power plant (NPP) faults
Subjects: H900 Others in Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Becky Skoyles
Date Deposited: 05 Oct 2018 14:20
Last Modified: 05 Oct 2018 14:20
URI: http://nrl.northumbria.ac.uk/id/eprint/36091

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