Paper Info
Title
A distributed architecture for sensor fault detection and isolation using adaptive approximation
Abstract
This paper presents a design methodology and some analytical results for distributed sensor fault detection and isolation (SFDI) of a class of nonlinear uncertain systems. During the initial stage of the nonlinear system operation, an adaptive approximation technique is used for learning online the modeling uncertainty. Then, local SFDI modules are designed using a dedicated nonlinear observer scheme. The fault isolation process is enhanced by deriving a combinatorial decision logic that integrates information from local SFDI modules. The performance of the proposed diagnostic scheme is analyzed in terms of its robustness with respect to the modeling uncertainties and conditions for ensuring fault detectability and isolability.
Year
DOI
Venue
2012
10.1109/IJCNN.2012.6252690
Neural Networks
Keywords
Field
DocType
approximation theory,distributed sensors,fault diagnosis,nonlinear systems,observers,uncertain systems,adaptive approximation technique,combinatorial decision logic,dedicated nonlinear observer scheme,design methodology,diagnostic scheme,distributed architecture,distributed sensor fault detection and isolation,fault detectability,fault isolability,fault isolation process,local SFDI modules,modeling uncertainty,nonlinear system operation,nonlinear uncertain systems,sensor fault isolation
Decision table,Nonlinear system,Computer science,Control theory,Nonlinear observer,Control engineering,Robustness (computer science),Artificial intelligence,Fault detection and isolation,Approximation theory,Design methods,Uncertain systems,Machine learning
Conference
ISSN
ISBN
Citations 
2161-4393 E-ISBN : 978-1-4673-1489-3
978-1-4673-1489-3
3
PageRank 
References 
Authors
0.39
9
3
Name
Order
Citations
PageRank
Vasso Reppa1517.18
Marios Polycarpou22020206.96
Panayiotou, C.G.320118.81