Compressed sensing based on dictionary learning for reconstructing blade tip timing signals

Abstract

Blade tip timing (BTT) is a promising technique for the blade vibration measurement. Since under-sampling is an inherent drawback of BTT measurement, compressed sensing theory which enables the recovery of sparse signals provides a novel method to the reconstruction of BTT signals. Considering the variability of the excitation method and the material of… (More)

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