A distributed networked approach for fault detection of large-scale systems
File(s)DFD_VirtSensor_TAC_finalV2.pdf (3.07 MB)
Accepted version
Author(s)
Boem, F
Ferrari, RMG
Keliris, C
Parisini, T
Polycarpou, MM
Type
Journal Article
Abstract
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.
Date Issued
2017-01-01
Date Acceptance
2016-02-16
Citation
IEEE Transactions on Automatic Control, 2017, 62 (1), pp.18-33
ISSN
0018-9286
Publisher
Institute of Electrical and Electronics Engineers
Start Page
18
End Page
33
Journal / Book Title
IEEE Transactions on Automatic Control
Volume
62
Issue
1
Copyright Statement
© 2015 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
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://ieeexplore.ieee.org/document/7428855
Grant Number
EP/L014343/1
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Distributed systems
fault detection
large-scale systems
networked control systems
DETECTION FILTERING APPROACH
TIME NONLINEAR-SYSTEMS
PREDICTIVE CONTROL
DETECTION SCHEME
SENSOR FAULTS
COMMUNICATION
DIAGNOSIS
STABILITY
DELAY
SUBJECT
Industrial Engineering & Automation
0102 Applied Mathematics
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2016-03-08