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Research on the uncertainty problem of SDG fault diagnosis based on information flow

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成果类型:
期刊论文
作者:
Huang, Jiahui;Liu, Jie;Yang, Xiaohua;Ma, Jiayu;Liu, Hua
通讯作者:
Liu, Jie(jliuhn@foxmail.com);Yang, Xiaohua(xiaohua1963@foxmail.com)
作者机构:
[Ma, Jiayu; Huang, Jiahui; Liu, Jie; Yang, Xiaohua] School of Computer Science, University of South China, Hunan, Hengyang, China
[Liu, Hua] School of Electrical Engineering, University of South China, Hunan, Hengyang, China
通讯机构:
[Liu, J.; Yang, X.] S
School of Computer Science, Hunan, China
语种:
英文
关键词:
compensation response;fault diagnosis;information flow;inverse response;SDG model
期刊:
Frontiers in Energy Research
ISSN:
2296-598X
年:
2023
卷:
10
页码:
1013255
基金类别:
This study was supported by the Open Fund of Science and Technology on Reactor System Design Technology Laboratory: SQ-KFKT-24-2021-006.
机构署名:
本校为第一机构
院系归属:
电气工程学院
摘要:
Accurate and complete diagnosis of nuclear accidents is the primary link to nuclear emergencies. The signed directed graph (SDG), as a common method of fault diagnosis, has good completeness. However, if there are feedforward and negative feedback control loops, compensation response and reverse response will be generated in the process of fault occurrence and propagation, which makes the state of the compensation variable and reverse variable uncertain, thus destroying the compatibility of the fault propagation path, leading to incomplete SDG ...

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