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Algorithms for Indicating the Beginning of Accidents Based on the Estimate of the Density Distribution Function of the Noise of Technological Parameters

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Abstract

A technology has been developed, which allows for calculating the probability density function of noise, its maximum and inflection points, using the discrete values of a signal corrupted by an additive random noise. Computational experiments have been conducted. It has been demonstrated that knowledge of those characteristics of noise allows systems of monitoring, control, diagnostics, forecasting, identification, management, etc. to register not only the initial period of fault origin, but also the moment when preventive maintenance measures, routine or major overhaul works are required.

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Authors and Affiliations

  1. Institute of Control Systems of the ANAS, Baku, AZ1141, Azerbaijan

    T. A. Aliev & M. T. Suleymanova

  2. Azerbaijan University of Architecture and Construction, Baku, AZ1073, Azerbaijan

    N. F. Musaeva

Authors
  1. T. A. Aliev
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  2. N. F. Musaeva
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  3. M. T. Suleymanova
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Corresponding author

Correspondence to N. F. Musaeva.

Additional information

Published in Russian in Avtomatika i Vychislitel’naya Tekhnika, 2018, No. 3, pp. 55–69.

The article is published in the original.

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Aliev, T.A., Musaeva, N.F. & Suleymanova, M.T. Algorithms for Indicating the Beginning of Accidents Based on the Estimate of the Density Distribution Function of the Noise of Technological Parameters. Aut. Control Comp. Sci. 52, 231–242 (2018). https://doi.org/10.3103/S0146411618030021

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  • DOI: https://doi.org/10.3103/S0146411618030021

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