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Open access 2026

A BAYESIAN APPROACH TO SOLVING PROBLEMS OF DIAGNOSTICS OF ELECTRICAL EQUIPMENT IN ROBOTIC SYSTEMS

Background. Given the increasing complexity of electrical equipment in robotic systems, a reliable assessment of their technical condition is particularly important. Traditional methods of periodic monitoring do not allow for the sufficient consideration of accumulated diagnostic information and adequate assessment of...

A. Zayara, M. E. Danilin · 0 citations
Open access 2025

ASSESSMENT OF THE TECHNICAL CONDITION OF ELECTRICAL EQUIPMENT IN MOBILE ROBOTIC COMPLEXES USING FUZZY CLASSIFICATION

Background. Modern mobile robotic complexes are equipped with sophisticated electrical equipment, which causes more than half of the failures caused by degradation processes. To ensure the restoration of the complexes' operability, the development of a new maintenance and repair system is required. Materials and method...

A. Zayara, V. P. Fandeyev · 1 citation
Open access 2025

SENSITIVITY OF THE TECHNICAL CONDITION OF ELECTRICAL EQUIPMENT OF MOBILE ROBOTIC COMPLEXES FOR SOLVING MONITORING TASKS

Background. To solve the problem of sensing the technical condition of the electrical equipment of mobile robotic complexes through the integration of sensory information, a monitoring procedure is proposed as an integral part of a maintenance and repair system based on a proactive concept. Materials and methods. Using...

A. Zayara, M. E. Danilin · 0 citations
Open access 2025

A STATISTICAL CLASSIFICATION-BASED DECISION-MAKING MODEL FOR MONITORING THE TECHNICAL CONDITION OF MOBILE ROBOT ELECTRICAL EQUIPMENT

Background. The possibility of using statistical classification methods to support decision-making in the process of monitoring the technical condition of mobile robot electrical equipment is being investigated. Materials and methods. A model for estimating state changes is proposed based on probabilistic patterns of p...

A. Zayara · 0 citations

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