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
VL - 92
SP - 22
EP - 28
JO - Progress in Nuclear Energy
JF - Progress in Nuclear Energy
SN - 0149-1970
ER -