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July 1, 2026Open Access

Development of an Intelligent Robotic System for Multisensor Monitoring and Diagnostics of Energy Infrastructure

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Authors

ATAndriі TkachukAHAnna HumeniukMBMartin Bohdanovskyi

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Overview

Randomized trial examines predictive maintenance in electric power systems, suggesting improved safety and efficiency.

Key Points

  • To establish a framework for a robotic predictive maintenance system using multisensor data and intelligent diagnostics.
  • Development of robotic platforms for inspections and diagnostics of power systems.
  • Integration of visual, thermal, acoustic, and vibration data during autonomous inspections.
  • Application of machine learning and artificial intelligence for anomaly detection.
  • Increased inspection frequency and accuracy among predictive maintenance protocols.
  • Reduction of human involvement in hazardous operational conditions.
  • Enhanced operational safety and reliability in electric power infrastructure.

Cite This Study

Tkachuk et al. (2026) studied this question.

synapsesocial.com/papers/6a44b0485cd2549c8bc44e97https://doi.org/10.5281/zenodo.21032205
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