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An Intelligent Evaluation System for Predicting Engine Driver Reliability

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Abstract

An intelligent system is considered for evaluating and predicting engine driver reliability is considered. This is based on predicting possible engine driver’s violations, depending on his previous experience and the formation of appropriate recommendations. The problem of predicting possible violations is solved using tools and machine learning algorithms. The proposed system makes it possible to predict violations that may be committed by a driver and to increase the reliability of electric stock safety systems by targeted management of the human factor.

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Authors and Affiliations

  1. Russian University of Transport, 127994, Moscow, Russia

    V. G. Sidorenko & M. A. Kulagin

Authors
  1. V. G. Sidorenko
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  2. M. A. Kulagin
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Corresponding author

Correspondence to V. G. Sidorenko.

Additional information

Translated by A. Kolemesin

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Sidorenko, V.G., Kulagin, M.A. An Intelligent Evaluation System for Predicting Engine Driver Reliability. Russ. Electr. Engin. 91, 587–591 (2020). https://doi.org/10.3103/S1068371220090126

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  • DOI: https://doi.org/10.3103/S1068371220090126

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