Wang, Hao; Liu, Ruonan; Ding, Steven X.; Hu, Qinghua; Li, Zengxiang; Zhou, Hongkuan:
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes
In: IEEE Transactions on Industrial Informatics (T-IINF) / Institute of Electrical and Electronics Engineers (IEEE) (Eds.). , Vol. 20 (2024), No. 2, pp. 1987 - 1996
2024article/chapter in journalOA Green
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes
Author:
Wang, Hao
;Liu, Ruonan
Other
corresponding author
;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Hu, Qinghua
;Li, Zengxiang
;Zhou, Hongkuan
Year of publication:
2024
Open Access?:
OA Green
DOI
10.1109/TII.2023.3282979
IEEE ID
10146475
Scopus ID
85162706781
WWW URL:
https://ruonanliu.com/assets/pdf/18_Causal-Trivial_Attention_Graph_Neural_Network_for_Fault_Diagnosis_of_Complex_Industrial_Processes.pdf
Language of text:
English
Appears in
IEEE Transactions on Industrial Informatics (T-IINF)
Title in English (abbreviated):
IEEE Trans. Ind. Inf.
Editor:
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication:
Piscataway
Publisher:
IEEE
in:
Vol. 20 (2024), No. 2, pp. 1987 - 1996
ISSN
1941-0050 Show availability online & print
ISSN
1551-3203 Show availability online & print
ZDB ID
2172163-4
Type of resource:
Text
Keyword, Topic:
Causal intervention ; Classification algorithms ; complex industrial processes ; Fault diagnosis ; fault diagnosis ; Feature extraction ; Graph neural networks ; graph neural networks (GNN) ; Informatics ; Task analysis ; Training
Type of resource:
Text
Access Rights:
open access
DESTATIS Subject Classification:
7100 Elektrotechnik allgemein