Micro-vibration Verification of GOCE Thermal Hardware

Cataloglu, A.; Weimer, L.; Eckert, Kerstin; Pieper, B.; Battaglia, Domenico

doi:10.4271/2004-01-2390

Cited by 3 publications

(1 citation statement)

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“…The analysis of the ground and in-orbit microvibrations by 'OICETS' [2] and 'SPOT4' [3] reveals that the reaction wheel produced the largest disturbance of all the sources of microvibrations. Other sources, such as vacuum conditions and thermal changes that must be simulated in a thermal vacuum chamber [35], contribute little to the microvibrations. Moreover, the simulation in the chamber adds significant complexity to the measurement system.…”

Section: Methodsmentioning

confidence: 99%

Microvibration streaming measurements using dynamic compressed sensing for satellites

Zhou

Zhu

et al. 2023

Meas. Sci. Technol.

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Long-term monitoring of satellite microvibrations generates a significant amount of data streams, placing strain on satellites with limited transmission capacity. To relieve this transmission strain, a dynamic compressed sensing (CS) framework is proposed for satellite microvibration measurements. Microvibration streams are measured block by block and then reconstructed by a dynamic recovery algorithm. The recovery solution of one block can be used as a priori knowledge for the next block, allowing for faster updates. However, the existing dynamic recovery algorithms are only applicable to the real domain and cannot be applied to the microvibrations projected on a Fourier basis in the complex domain. In light of this, the dynamic homotopy algorithm is expanded to the complex domain to deal with microvibration signals that are sparse on the Fourier basis. In comparison to the traditional uniform sampling methods, the experimental results show that the dynamic CS with the expanded recovery algorithm can achieve a maximum root-mean-square acceleration (Grms) deviation of 4% in power spectrum density (PSD) with 1/5 sampling points. Compared with recovery algorithms applicable to fixed measurements, the dynamic algorithm can achieve comparable accuracy in about 1/3 of computation time. The experimental results demonstrate the feasibility of satellite microvibrations measurement using dynamic CS.

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Section: Methodsmentioning

confidence: 99%