DocumentCode :
29062
Title :
Distributed Sensor Fault Diagnosis for a Network of Interconnected Cyberphysical Systems
Author :
Reppa, Vasso ; Polycarpou, Marios M. ; Panayiotou, Christos G.
Author_Institution :
Lab. of Signal & Syst. (L2S), Univ. Paris Sud, Gif-sur-Yvette, France
Volume :
2
Issue :
1
fYear :
2015
fDate :
Mar-15
Firstpage :
11
Lastpage :
23
Abstract :
This paper proposes a distributed methodology for detecting and isolating multiple sensor faults in interconnected cyberphysical systems. The distributed sensor fault detection and isolation process is conducted in the cybersuperstratum, in two levels. The first-level diagnosis is based on the design of monitoring agents, where every agent is dedicated to a corresponding interconnected subsystem. The monitoring agent is designed to isolate multiple sensor faults occurring in the sensor set of the physical part, while it is allowed to exchange information with its neighboring monitoring agents. The second-level diagnosis is realized by applying a global decision logic designed to isolate multiple sensor faults that may propagate in the cybersuperstratum through the exchange of information between monitoring agents. The decision-making process, executed in both levels of diagnosis, relies on a multiple sensor fault combinatorial logic and diagnostic reasoning. The performance of the proposed methodology is analyzed with respect to the sensor fault propagation effects and the distributed sensor fault detectability.
Keywords :
computerised monitoring; decision making; distributed sensors; embedded systems; fault diagnosis; interconnected systems; multi-agent systems; cyber superstratum; decision making process; diagnostic reasoning; distributed methodology; distributed sensor fault detectability; distributed sensor fault detection; distributed sensor fault diagnosis; distributed sensor fault isolation process; global decision logic; interconnected cyber-physical systems; monitoring agent; multiple sensor fault combinatorial logic; sensor fault propagation effects; Control systems; Fault detection; Monitoring; Observers; Robot sensing systems; Uncertainty; Vectors; ;
fLanguage :
English
Journal_Title :
Control of Network Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2325-5870
Type :
jour
DOI :
10.1109/TCNS.2014.2367362
Filename :
6948357
Link To Document :
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