Distributed Fault Detection with Sensor Networks using Pareto-Optimal Dynamic Estimation Method
File(s)
Submitted version
Author(s)
Zhou, Y
Boem, F
Fischione, C
Parisini, T
Type
Conference Paper
Abstract
In this paper, a distributed method for fault
detection using sensor networks is proposed. Each sensor
communicates only with neighboring nodes to compute locally
an estimate of the state of the system to monitor. A residual
is defined and suitable stochastic thresholds are designed,
allowing to set the parameters so to guarantee a maximum
false alarms probability. The main novelty and challenge of
the proposed approach consists in addressing the individual
correlations between the state, the measurements, and the
noise components, thus significantly generalising the estimation
methodology compared to previous results. No assumptions on
the probability distribution family are needed for the noise
variables. Simulation results show the effectiveness of the
proposed method, including an extensive sensitivity analysis
with respect to fault magnitude and measurement noise.
detection using sensor networks is proposed. Each sensor
communicates only with neighboring nodes to compute locally
an estimate of the state of the system to monitor. A residual
is defined and suitable stochastic thresholds are designed,
allowing to set the parameters so to guarantee a maximum
false alarms probability. The main novelty and challenge of
the proposed approach consists in addressing the individual
correlations between the state, the measurements, and the
noise components, thus significantly generalising the estimation
methodology compared to previous results. No assumptions on
the probability distribution family are needed for the noise
variables. Simulation results show the effectiveness of the
proposed method, including an extensive sensitivity analysis
with respect to fault magnitude and measurement noise.
Date Issued
2017-01-09
Date Acceptance
2016-02-29
Citation
2016 European Control Conference, 2017
Publisher
IEEE
Journal / Book Title
2016 European Control Conference
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/L014343/1
Source
2016 European Control Conference
Subjects
Science & Technology
Technology
Automation & Control Systems
SYSTEMS
Publication Status
Published
Start Date
2016-06-29
Finish Date
2016-07-01
Coverage Spatial
Aalborg, Denmark