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Multimodel Processing of Measurement Data in Intelligent Systems for Predicting the Reliability of Spaceborne Equipment

  • GENERAL PROBLEMS OF METROLOGY AND MEASUREMENT TECHNIQUE
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Measurement Techniques Aims and scope

The problems of adaptive synthesis of the mathematical support structure for the processing of measurement data in intelligent systems for the prediction of the parametric reliability of spaceborne systems are examined as functions of the characteristics of the predictive situation. The resulting approaches can be used for operational estimates of the reliability of spaceborne systems in the stage of earthbound and flight tests with minimal method error on the set of predictive models.

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Authors and Affiliations

  1. STANDARTINFORM, Moscow, Russia

    M. I. Lomakin

  2. Mozhaiskii Military Space Academy (VKA), St. Petersburg, Russia

    A. N. Mironov

  3. Voskhod Branch, Moscow Aviation Institute (National Research University), Baikonur, Russia

    O. L. Shestopalova

Authors
  1. M. I. Lomakin
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  2. A. N. Mironov
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  3. O. L. Shestopalova
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Corresponding author

Correspondence to M. I. Lomakin.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 1, pp. 8–13, January, 2014.

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Lomakin, M.I., Mironov, A.N. & Shestopalova, O.L. Multimodel Processing of Measurement Data in Intelligent Systems for Predicting the Reliability of Spaceborne Equipment. Meas Tech 57, 8–15 (2014). https://doi.org/10.1007/s11018-014-0399-y

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  • DOI: https://doi.org/10.1007/s11018-014-0399-y

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