Title
Interpretable Fault Diagnosis for Cyberphysical Systems: A Learning Perspective
Abstract
Cyberphysical systems (CPSs) are vulnerable to catastrophic fault propagation due to the strong connectivity among their subsystems. This article introduces a learning-based method to enable CPSs to explain their faults to human users, facilitating effective and efficient collaborative error diagnosis.
Year
DOI
Venue
2021
10.1109/MC.2021.3078694
Computer
DocType
Volume
Issue
Journal
54
9
ISSN
Citations 
PageRank 
0018-9162
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Ziquan Deng100.34
Zhaodan Kong200.34