Interpretable Fault Diagnosis for Cyberphysical Systems: A Learning Perspective

Ziquan Deng, Zhaodan Kong

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.