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Curtin University
Deterministic dynamical systems include any physical system which behave in a predictable way. We can measure time series from these systems and use these to build a model of the behaviour of the system. An example might include a mechanical pump during normal operation from which we make measurements of axial vibration and fluid flow. The master classes will provide a broad introduction to the fields of applied dynamical systems, recurrence quantification analysis and complex net- works. We will discuss the computational tools that can be derived from these methods to analyse time-series data. Participants will be able to incorporate these computational tools to their feature extraction framework as a complementary/alternative to traditional feature extraction techniques. We will also review some of the transition (change-point) detection methods derived from the above techniques. They are useful to track changes in the behaviour of time-series. Participants will be able to implement these change- point detection techniques in asset's health-monitoring signals to enhance the predictive analysis performances. |