@article{Boem:2017:10.1109/TAC.2016.2539326,
author = {Boem, F and Ferrari, RMG and Keliris, C and Parisini, T and Polycarpou, MM},
doi = {10.1109/TAC.2016.2539326},
journal = {IEEE Transactions on Automatic Control},
pages = {18--33},
title = {A distributed networked approach for fault detection of large-scale systems},
url = {http://dx.doi.org/10.1109/TAC.2016.2539326},
volume = {62},
year = {2017}
}

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TY  - JOUR
AB  - Networked systems present some key new challenges in the development of fault diagnosis architectures. This paper proposes a novel distributed networked fault detection methodology for large-scale interconnected systems. The proposed formulation incorporates a synchronization methodology with a filtering approach in order to reduce the effect of measurement noise and time delays on the fault detection performance. The proposed approach allows the monitoring of multi-rate systems, where asynchronous and delayed measurements are available. This is achieved through the development of a virtual sensor scheme with a model-based re-synchronization algorithm and a delay compensation strategy for distributed fault diagnostic units. The monitoring architecture exploits an adaptive approximator with learning capabilities for handling uncertainties in the interconnection dynamics. A consensus-based estimator with timevarying weights is introduced, for improving fault detectability in the case of variables shared among more than one subsystem. Furthermore, time-varying threshold functions are designed to prevent false-positive alarms. Analytical fault detectability sufficient conditions are derived and extensive simulation results are presented to illustrate the effectiveness of the distributed fault detection technique.
AU  - Boem,F
AU  - Ferrari,RMG
AU  - Keliris,C
AU  - Parisini,T
AU  - Polycarpou,MM
DO  - 10.1109/TAC.2016.2539326
EP  - 33
PY  - 2017///
SN  - 0018-9286
SP  - 18
TI  - A distributed networked approach for fault detection of large-scale systems
T2  - IEEE Transactions on Automatic Control
UR  - http://dx.doi.org/10.1109/TAC.2016.2539326
UR  - https://ieeexplore.ieee.org/document/7428855
UR  - http://hdl.handle.net/10044/1/31710
VL  - 62
ER  - 

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