An event-based distributed diagnosis framework using structural model decomposition

DOI10.1016/j.artint.2014.01.003zbMath1334.68294OpenAlexW2129663404MaRDI QIDQ490646

Xenofon D. Koutsoukos, Gautam Biswas, Indranil Roychoudhury, Anibal Bregon, Matthew Daigle, Belarmino Pulido

Publication date: 27 August 2015

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2014.01.003

zbMATH Keywords

discrete event systemsdistributed diagnosispossible conflictsstructural model decomposition

Mathematics Subject Classification ID

Reliability, testing and fault tolerance of networks and computer systems (68M15) Artificial intelligence for robotics (68T40) Distributed algorithms (68W15)

Related Items (1)

Hybrid Bond-Graph Possible Conflicts for Hybrid Systems Fault Diagnosis

Cites Work

• Diagnosing multiple faults
• A theory of diagnosis from first principles
• A spectrum of definitions for temporal model-based diagnosis
• Diagnosis of large active systems
• Coordinated decentralized protocols for failure diagnosis of discrete event systems
• A formal framework for the decentralised diagnosis of large scale discrete event systems and its application to telecommunication networks
• Diagnosability of discrete-event systems
• Fault diagnosis in discrete-event systems: Framework and model reduction
• Global and local consistencies in distributed fault diagnosis for discrete-event systems
• Diagnosis and Fault-Tolerant Control
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