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.
|Number of pages
|IFAC Proceedings Volumes (IFAC-PapersOnline)
|Published - 2003
|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