
dr hab. inż. Marcin Łuczak
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- marcin.luczak@pg.edu.pl
Publication showcase
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An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics
The establishment of a Digital Twin of an operating engineered system can increase the potency of Structural Health Monitoring (SHM) tools, which are then bestowed with enhanced predictive capabilities. This is particularly relevant for wind energy infrastructures, where the definition of remaining useful life is a main driver for assessing the efficacy of these systems. In order to ensure a proper representation of the physical...
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Uncertainty quantification of modal parameter estimates obtained from subspace identification: An experimental validation on a laboratory test of a large-scale wind turbine blade
The uncertainty afflicting modal parameter estimates stems from e.g., the finite data length, unknown, or partly measured inputs and the choice of the identification algorithm. Quantification of the related errors with the statistical Delta method is a recent tool, useful in many modern modal analysis applications e.g., damage diagnosis, reliability analysis, model calibration. In this paper, the Delta method-based uncertainty...
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Frequency domain operational modal analysis methods for fatigue damage progression in laboratory tests of wind turbine blade
The long, elastic blades in wind turbines are sensitive to external vibrations. Monitoring their health is crucial for safety, damage detection, performance estimation, and predicting remaining lifetime. Performing SHM during wind turbine operation gains interest for diagnostics when the shutdown of a wind turbine is expensive or not desirable. In this case, Operational Modal Analysis (OMA) techniques are of specific interest....
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