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

Chunli Xie; Ahmed Elmarakbi; Yongkuo Liu; Jizhou Zhang

doi:10.1016/j.pnucene.2016.06.001

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

Chunli Xie^*, Ahmed Elmarakbi, Yongkuo Liu, Jizhou Zhang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	22-28
Number of pages	7
Journal	Progress in Nuclear Energy
Volume	92
Early online date	24 Jun 2016
DOIs	https://doi.org/10.1016/j.pnucene.2016.06.001
Publication status	Published - Sept 2016
Externally published	Yes

Keywords

Dynamic ordered concept lattice based method
Early diagnosis
Nuclear power plant (NPP) faults

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10.1016/j.pnucene.2016.06.001

Cite this

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title = "A dynamic ordered concept lattice based algorithm for early diagnosis of NPP faults",

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.",

keywords = "Dynamic ordered concept lattice based method, Early diagnosis, Nuclear power plant (NPP) faults",

author = "Chunli Xie and Ahmed Elmarakbi and Yongkuo Liu and Jizhou Zhang",

year = "2016",

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doi = "10.1016/j.pnucene.2016.06.001",

language = "English",

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journal = "Progress in Nuclear Energy",

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TY - JOUR

T1 - A dynamic ordered concept lattice based algorithm for early diagnosis of NPP faults

AU - Xie, Chunli

AU - Elmarakbi, Ahmed

AU - Liu, Yongkuo

AU - Zhang, Jizhou

PY - 2016/9

Y1 - 2016/9

N2 - 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.

AB - 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.

KW - Dynamic ordered concept lattice based method

KW - Early diagnosis

KW - Nuclear power plant (NPP) faults

U2 - 10.1016/j.pnucene.2016.06.001

DO - 10.1016/j.pnucene.2016.06.001

M3 - Article

AN - SCOPUS:84975883649

SN - 0149-1970

VL - 92

SP - 22

EP - 28

JO - Progress in Nuclear Energy

JF - Progress in Nuclear Energy

ER -

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

Abstract

Keywords

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