• The problems associated with aeroelastic instabilities are not only restricted to aircraft wings or helicopter blades, but also to the blades of modern wind turbines.
• A decrease in power generation is observed when modern wind turbines suffer from aeroelastic instabilities. Similarly, rotor blades in turbo machineries are also airfoil like structures which are susceptible to these aeroelastic instabilities.
• The aeroelastic instabilities in the rotor blades can have disastrous consequences in which the broken components behave as high speed projectiles having the potential to cause catastrophic damage.
• It is therefore necessary to have mechanisms that can forewarn of impending aeroelastic instabilities.

Method:

1. Acquire data from a set of contact sensors.
2. Analyze data acquired from the set of contact sensors.
3. Determine recurrence quantification of intermittent states in the data.
4. Compare data acquired from contact sensors with one or more schemes.
5. Generate precursors for detecting impending aeroelastic instability.
6. A suite of measures for foretelling an impending flutter instability is obtained from time series analysis techniques wherein the features, patterns and recurring nature of trajectories in the aeroelastic response data are suitably quantified.

FIG. 1 illustrates a system for generating precursors to detect aeroelastic instabilities in offline mode.

FIG. 2. illustrates a wind tunnel in which the system for generating precursors in offline mode is placed.