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Significance evaluation technique for error conditions in data processing within enterprise automatic control system

  • Automation in Industry
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Abstract

A problem of increasing the efficiency of automatic control system (ACS) in the field of reliable data processing is considered. An emphasis is placed on integration of information resources protection system (IRPS) with ACS of the enterprise (ACSE), as well as on relationship between validity of the processed data and qualitative descriptions and characteristics of ACS. A certain technique of transition from qualitative characteristics to quantitative values is suggested, with application to error conditions evaluation in data processing within ACS.

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Authors and Affiliations

  1. Vladimir State University, Vladimir, Russia

    D. A. Polyanskii & M. Yu. Monakhov

Authors
  1. D. A. Polyanskii
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  2. M. Yu. Monakhov
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Original Russian Text © D.A. Polyanskii, M.Yu. Monakhov, 2008, published in Avtomatizatsiya v Promyshlennosti, 2008, No. 11, pp. 10–12.

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Polyanskii, D.A., Monakhov, M.Y. Significance evaluation technique for error conditions in data processing within enterprise automatic control system. Autom Remote Control 72, 1114–1117 (2011). https://doi.org/10.1134/S0005117911050201

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  • DOI: https://doi.org/10.1134/S0005117911050201

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