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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 demonstrates enhanced predictive maintenance efficiency in electric power systems, indicating better operational safety.

Key Points

  • The study aims to establish a framework for a robotic predictive maintenance system using multisensor data for electric power infrastructure.
  • Developed an architectural framework for robotic predictive maintenance systems.
  • Incorporated multisensor data acquisition from various robotic platforms during inspections.
  • Applied artificial intelligence techniques for defect detection and predictive analytics.
  • Robotic technologies increased inspection frequency and accuracy, reducing human risk in hazardous tasks.
  • Enhanced remote diagnostics supported data-driven maintenance planning.
  • Efficient identification of failure indicators improved operational reliability and safety.

Cite This Study

Tkachuk et al. (2026) studied this question.

synapsesocial.com/papers/6a44aedf5cd2549c8bc4405ahttps://doi.org/10.5281/zenodo.21032204
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