Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells

Yao Zhao; Ting Wang; Xin Wang

doi:10.1371/journal.pone.0341884

Loading metrics

Open Access

Peer-reviewed

Research Article

Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells

Yao Zhao,

Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft

Affiliations School of Management, Guizhou University, Guiyang, China, Guizhou Provincial Key Laboratory of Internet plus Intelligent Manufacturing, Guiyang, China
⨯
Ting Wang ,

Roles Funding acquisition, Investigation, Methodology, Project administration, Writing – review & editing

* E-mail: twang@gzu.edu.cn

Affiliations School of Management, Guizhou University, Guiyang, China, Guizhou Provincial Key Laboratory of Internet plus Intelligent Manufacturing, Guiyang, China

https://orcid.org/0000-0002-4335-9078

⨯
Xin Wang

Roles Investigation, Supervision, Visualization

Affiliation School of Economics and Management, Guiyang University, Guiyang, China
⨯

Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells

Yao Zhao,
Ting Wang,
Xin Wang

Published: January 30, 2026
https://doi.org/10.1371/journal.pone.0341884

About the Authors

Yao Zhao

Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft

Affiliations School of Management, Guizhou University, Guiyang, China, Guizhou Provincial Key Laboratory of Internet plus Intelligent Manufacturing, Guiyang, China

Ting Wang

Roles Funding acquisition, Investigation, Methodology, Project administration, Writing – review & editing

* E-mail: twang@gzu.edu.cn

Affiliations School of Management, Guizhou University, Guiyang, China, Guizhou Provincial Key Laboratory of Internet plus Intelligent Manufacturing, Guiyang, China

https://orcid.org/0000-0002-4335-9078

Xin Wang

Roles Investigation, Supervision, Visualization

Affiliation School of Economics and Management, Guiyang University, Guiyang, China

Competing Interests

The authors have declared that no competing interests exist.

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Electrical faults
Is the Subject Area "Electrical faults" applicable to this article?

Thanks for your feedback.
Hydrogen
Is the Subject Area "Hydrogen" applicable to this article?

Thanks for your feedback.
Neural networks
Is the Subject Area "Neural networks" applicable to this article?

Thanks for your feedback.
Artificial neural networks
Is the Subject Area "Artificial neural networks" applicable to this article?

Thanks for your feedback.
Damage mechanics
Is the Subject Area "Damage mechanics" applicable to this article?

Thanks for your feedback.
Support vector machines
Is the Subject Area "Support vector machines" applicable to this article?

Thanks for your feedback.
Fuels
Is the Subject Area "Fuels" applicable to this article?

Thanks for your feedback.
Optimization
Is the Subject Area "Optimization" applicable to this article?

Thanks for your feedback.