Anomaly detection in complex systems

Amit Surana, Asok Ray, Shin Chin

Research output: Contribution to journalConference article

4 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)1119-1124
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume36
Issue number5
DOIs
StatePublished - Jan 1 2003
Event5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003 - Washington, United States
Duration: Jun 9 1997Jun 11 1997

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Large scale systems
Dynamical systems

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Surana, Amit ; Ray, Asok ; Chin, Shin. / Anomaly detection in complex systems. In: IFAC Proceedings Volumes (IFAC-PapersOnline). 2003 ; Vol. 36, No. 5. pp. 1119-1124.
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Anomaly detection in complex systems. / Surana, Amit; Ray, Asok; Chin, Shin.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 36, No. 5, 01.01.2003, p. 1119-1124.

Research output: Contribution to journalConference article

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