Methods of dynamical system analysis were employed to analyze unsteady phenomena in a centrifugal blower. Pressure signals gathered at different control points were decomposed into their Principal Components (PCs) by means of Singular Spectrum Analysis (SSA). Certain number of PCs was considered in the analysis based on their statistical correlation. Projection of the original signal onto its PCs allowed to draw the phase trajectory that clearly separated non-stable blower working conditions from its regular operation.
|Number of pages||11|
|Publication status||Published - 25 Sep 2015|
|Event||11th International Symposium on Compressor and Turbine Flow Systems Theory and Application Areas - Lodz, Poland|
Duration: 20 Oct 2014 → 23 Oct 2014
- singular spectrum analysis (SSA)
- nonlinear dynamics
- statistical pattern recognition