Distributed fault detection for interconnected large-scale systems: a scalable plug & play approach
File(s)
Author(s)
Boem, Francesca
Carli, Ruggero
Farina, Marcello
Ferrari-Trecate, Giancarlo
Parisini, Thomas
Type
Journal Article
Abstract
In this paper, we propose a novel distributed fault detection method to monitor the state of a - possibly large-scale - linear system, partitioned into interconnected subsystems. The approach hinges on the definition of a partition-based distributed Luenberger-like estimator, based on the local model of the subsystems and that takes into account the dynamic coupling between the subsystems. The proposed methodology computes - in a distributed way - a bound on the variance of a properly defined residual signal. This bound depends on the uncertainty affecting the state estimates computed by the neighboring subsystems and it allows the computation of local fault detection thresholds, as well as the maximum false-alarms rate. The implementation of the proposed estimation and fault detection method is scalable, allowing Plug & Play operations and the possibility to disconnect the faulty subsystem after fault detection. Theoretical conditions on the convergence properties of the estimates and of the estimation error bounds are provided. Simulation results on a power network benchmark show the effectiveness of the proposed method.
Date Issued
2019-06
Date Acceptance
2018-10-11
Citation
IEEE Transactions on Control of Network Systems, 2019, 6 (2), pp.800-811
ISSN
2325-5870
Publisher
Institute of Electrical and Electronics Engineers
Start Page
800
End Page
811
Journal / Book Title
IEEE Transactions on Control of Network Systems
Volume
6
Issue
2
Copyright Statement
© 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information
Subjects
Science & Technology
Technology
Automation & Control Systems
Computer Science, Information Systems
Computer Science
Distributed state estimation
fault detection
large-scale system
networked control systems
scalable design
KALMAN-FILTER
STATE ESTIMATION
ALGORITHM
NETWORK
DESIGN
Publication Status
Published
Date Publish Online
2018-10-29