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Abstract <p>This article considers the issues of diagnostics of overhead-system elements. An analysis of overhead-system elements is carried out, the factors leading to its degradation are identified, and a set of target parameters indicating the proximity of unacceptable wear of the railway power-supply infrastructure and facilitating timely planning of repair and restoration work are determined. The mutual influence of the target parameters and their impact on the overhead system operability are determined. A data sample is prepared for training an artificial neural network designed for predictive diagnostics of the degree of overhead-system wear.</p>

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An Intelligent Automated System for Forecasting Overhead-System Wear at Electrified-Track Sections of Mainline Railways

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • A. S. Ikonnikov,
  • A. I. Safronov

摘要

Abstract

This article considers the issues of diagnostics of overhead-system elements. An analysis of overhead-system elements is carried out, the factors leading to its degradation are identified, and a set of target parameters indicating the proximity of unacceptable wear of the railway power-supply infrastructure and facilitating timely planning of repair and restoration work are determined. The mutual influence of the target parameters and their impact on the overhead system operability are determined. A data sample is prepared for training an artificial neural network designed for predictive diagnostics of the degree of overhead-system wear.