Fault Diagnosis to Nuclear Power Plant System Based on Time-Series Convolution Neural Network | Zendy

XianLing Li | Zendy; DongJiang Han | Zendy; XinFa Dai | Zendy; ShuYu Lv | Zendy; Mo Tao | Zendy; Wei Zheng | Zendy; YiBin Tang | Zendy

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Fault Diagnosis to Nuclear Power Plant System Based on Time-Series Convolution Neural Network

Author(s) -

XianLing Li,

DongJiang Han,

XinFa Dai,

ShuYu Lv,

Mo Tao,

Wei Zheng,

YiBin Tang

Publication year - 2022

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2022/3323239

Subject(s) - computer science , nuclear power plant , convolution (computer science) , principal component analysis , convolutional neural network , time series , margin (machine learning) , series (stratigraphy) , artificial neural network , artificial intelligence , fault (geology) , data set , set (abstract data type) , stability (learning theory) , component (thermodynamics) , pattern recognition (psychology) , algorithm , machine learning , paleontology , physics , seismology , nuclear physics , biology , programming language , geology , thermodynamics

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