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Data · dataset · 2025

sparse reconstruction method

Listed in Teesside University Research Data Repository

The D_V_BTT folder contains the code for the method proposed in this paper, which includes the construction of the sensing matrix based on both displacement and velocity information, along with the non-convex optimization algorithm.

Description

The D_BTT folder contains the code for the displacement-based method, which also utilizes the same non-convex optimization algorithm. The V_BTT folder contains the code for the velocity-based method, again using the same non-convex optimization algorithm.

The Comparison with D-BTT and V-BTT folder includes the spectral data reconstructed by all three methods for different vibration orders, along with the plotting scripts. It is important to note that, due to the manuscript not being officially published yet, we are currently only able to share part of the code. This part includes the key components for constructing the compressed sensing matrix using displacement and velocity information, along with the sparse reconstruction algorithm.

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The code for extracting the blade tip displacement and velocity from the waveforms will be made available after the manuscript is officially accepted for publication.

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Where it is published

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Teesside University Research Data Repositoryoai:data.mendeley.com/hpt5nytvhb.114 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title