American Journal of Aerospace Engineering

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Basic Development Stages of the Algorithms Applied to Recover Lost Microacceleration Data and Check Efficiency of Measuring Equipment on the Board of Space Laboratory

Received: 25 January 2015    Accepted: 26 January 2015    Published: 28 July 2015
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Abstract

The following article deals with the algorithm applied to recover lost microacceleration data. The algorithm allows recovering on the basis of available part of measuring data. It is based on the fractal quality of constructive part of microacceleration field. The algorithm can be applied for technological space laboratories only if a constructive part of microacceleration field is prevalent.

DOI 10.11648/j.ajae.s.2016030101.13
Published in American Journal of Aerospace Engineering (Volume 3, Issue 1-1, February 2016)

This article belongs to the Special Issue Space Laboratories: History, Researches, Prospects

Page(s) 10-16
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Space Laboratory, Algorithm Applied to Recover Data, Microaccelerations

References
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[2] R.G. Owen, D.I. Jones, A.R. Owens and A.A. Robinson “Integration of a microgravity isolation mount within a Columbus single rack,” Acta Astronautica, vol. 22, 1990, pp. 127-135.
[3] V.V. Sazonov, S. Yu. Chebukov, V.I. Abrashkin, A.E. Kazakova and A.S. Zaytsev “The analysis of low-frequency microaccelerations onboard FOTON-11 artificial satellite,” Space Research, vol. 39, No 4, 2001, pp. 419-435.
[4] S.A. Nikitin, V.I. Polezhayev and V.V. Sazonov “About measurement quasistatic microacceleration components onboard an artificial satellite by means of the convection sensor,” Space Research, vol. 39, No 2, 2001, pp. 179-187.
[5] V.S. Zemskov, M.R. Raukhman and V.P. Shalimov “Gravitational sensitivity of fusions at cultivation of crystals of InSb:Te Bridzhmen's by methods and bestigelny zonal melting in the conditions of a microgravity,” Space Research, vol. 39, No 4, 2001, pp. 375-383.
[6] V.S. Zemskov, M.R. Raukhman and E.A. “Kozitsyna Features of crystallization of multicomponent alloys in the conditions of zero gravity,” Physics and chemistry of processing of materials, No 5, 1985, pp. 44-49.
[7] V.S. Zemskov, M.R. Raukhman and V.P. Shalimov On the way to understanding of processes of cultivation from fusions of crystals of semiconductors in zero gravity on spacecrafts (Moscow, Institute of metallurgy and materials science of A.A. Baykov of 60 years, ELIS, Editions Lyakishev N. P., 1998), pp. 295-317.
[8] S.F. Konovalov, Yu.A. Ponomarev, D.V. Maiorov, V.P. Podchezercev and A.G. Sidorov “Hybrid microelectromechanical gyroscopes and acceleration gages,” Science and Education, No 10, 2011, pp. 1-23.
[9] A.N. Boiko, A.V. Zavodyan and B.M. Simonov “Micromechanical accelerometers: modeling of elements of a design and production,” Electronics: Science, Technology, Business, No 8, 2009, p.100-103.
[10] A.V. Sedelnikov and A.A. Kireeva “Alternative solutions to increase the duration of microgravity calm period on board the space laboratory,” Acta Astronautica, vol. 69, 2011, pp. 480–484.
[11] A.V. Sedelnikov “Fractal quality of microaccelerations,” Microgravity Scienes and Technology, vol. 24, No 5, 2012, pp. 345–350.
[12] A.V. Sedelnikov “The usage of fractal quality for microacceleration data recovery and for measuring equipment efficiency check,” Microgravity Scienes and Technology, vol. 26, No 5, 2014, pp.327–334.
[13] A.I. Belousov and A.V. Sedelnikov “Probabilistic estimation of fulfilling favorable conditions to realize the gravity-sensitive processes aboard a space laboratory,” Russian Aeronautics, vol. 56, No 3, 2013, p. 297–302.
[14] A.I. Belousov and A.V. Sedelnikov “Problems in formation and control of a required microacceleration level at spacecraft design, tests, and operation,” Russian Aeronautics, vol. 57, No 2, 2014, pp. 111–117.
[15] S.V. Zhernakov “Algorithms of control and diagnostics of aviation gas-turbine engine in the conditions of onboard realization on the basis of technology of neural networks,” The Bulletin of the Ufa State Aviation Technical University, vol. 14, No 3(38), 2010, pp. 42-56.
Author Information
  • Faculty of Computer Information Technologies and Automatic Equipment, Student of Donetsk National Technical University, Donetsk, Ukraine

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  • APA Style

    K. I. Potienko. (2015). Basic Development Stages of the Algorithms Applied to Recover Lost Microacceleration Data and Check Efficiency of Measuring Equipment on the Board of Space Laboratory. American Journal of Aerospace Engineering, 3(1-1), 10-16. https://doi.org/10.11648/j.ajae.s.2016030101.13

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    ACS Style

    K. I. Potienko. Basic Development Stages of the Algorithms Applied to Recover Lost Microacceleration Data and Check Efficiency of Measuring Equipment on the Board of Space Laboratory. Am. J. Aerosp. Eng. 2015, 3(1-1), 10-16. doi: 10.11648/j.ajae.s.2016030101.13

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    AMA Style

    K. I. Potienko. Basic Development Stages of the Algorithms Applied to Recover Lost Microacceleration Data and Check Efficiency of Measuring Equipment on the Board of Space Laboratory. Am J Aerosp Eng. 2015;3(1-1):10-16. doi: 10.11648/j.ajae.s.2016030101.13

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  • @article{10.11648/j.ajae.s.2016030101.13,
      author = {K. I. Potienko},
      title = {Basic Development Stages of the Algorithms Applied to Recover Lost Microacceleration Data and Check Efficiency of Measuring Equipment on the Board of Space Laboratory},
      journal = {American Journal of Aerospace Engineering},
      volume = {3},
      number = {1-1},
      pages = {10-16},
      doi = {10.11648/j.ajae.s.2016030101.13},
      url = {https://doi.org/10.11648/j.ajae.s.2016030101.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajae.s.2016030101.13},
      abstract = {The following article deals with the algorithm applied to recover lost microacceleration data. The algorithm allows recovering on the basis of available part of measuring data. It is based on the fractal quality of constructive part of microacceleration field. The algorithm can be applied for technological space laboratories only if a constructive part of microacceleration field is prevalent.},
     year = {2015}
    }
    

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