Anomaly detection in complex systems

Amit Surana; Asok Ray; Shin Chin

doi:10.1016/S1474-6670(17)36643-0

Anomaly detection in complex systems

Amit Surana
, Asok Ray
, Shin Chin

Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	1119-1124
Number of pages	6
Journal	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	36
Issue number	5
DOIs	https://doi.org/10.1016/S1474-6670(17)36643-0
State	Published - 2003
Event	5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003 - Washington, United States Duration: Jun 9 1997 → Jun 11 1997

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

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10.1016/S1474-6670(17)36643-0

Cite this

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abstract = "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.",

author = "Amit Surana and Asok Ray and Shin Chin",

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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 -

Anomaly detection in complex systems

Abstract

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