Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes
In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 35 (2024), No. 12, pp. 18635 - 18648
2024article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes
Author:
Chen, Dongyue
- Other
- corresponding author
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2024
Open Access?:
Closed access
IEEE ID
Web of Science ID
PubMed ID
Scopus ID
Language of text:
English
Keyword, Topic:
Bayes methods ; Bayesian deep learning (BDL) ; Computational modeling ; Data models ; Fault diagnosis ; fault diagnosis ; graph neural network ; industrial processes ; Predictive models ; Topology ; Uncertainty ; uncertainty feedback
Type of resource:
Text