TY - JOUR
T1 - Anomaly detection in complex systems
AU - Surana, Amit
AU - Ray, Asok
AU - Chin, Shin
N1 - Funding Information:
t This woo has been supported in part by the U.S. Army Research Office under Grant No. DAADI9-0I·I.0646 and NASA GleM Research Center under Grant No. NAG3·2448.
Publisher Copyright:
© 2003 International Federation of Automatic Control.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2003
Y1 - 2003
N2 - This paper presents a novel concept of anomaly detection in complex systems using tools of Symbolic Dynamics and Pattern Discovery. Anomaly is defined as a deviation from the nominal behaviour and can be associated with parametric changes that may gradually evolve. The proposed methodology is based on two-time-scale analysis of observed asymptotic behaviour of the dynamical system. This concept of small change detection in dynamical systems is elucidated through an example of the forced Duffing equation with a slowly varying dissipation parameter.
AB - This paper presents a novel concept of anomaly detection in complex systems using tools of Symbolic Dynamics and Pattern Discovery. Anomaly is defined as a deviation from the nominal behaviour and can be associated with parametric changes that may gradually evolve. The proposed methodology is based on two-time-scale analysis of observed asymptotic behaviour of the dynamical system. This concept of small change detection in dynamical systems is elucidated through an example of the forced Duffing equation with a slowly varying dissipation parameter.
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U2 - 10.1016/S1474-6670(17)36643-0
DO - 10.1016/S1474-6670(17)36643-0
M3 - Conference article
AN - SCOPUS:11144318972
SN - 1474-6670
VL - 36
SP - 1119
EP - 1124
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
IS - 5
T2 - 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003
Y2 - 9 June 1997 through 11 June 1997
ER -