Electromechanical Systems Continuous Diagnostics Through Parametric Identification and Products Digitalization

Formalized universal approaches, which can be suitable for industrial products digitalization implementations providing the real time continuous technical diagnostics of electromechanical systems are developed. These approaches are based on the parametric identification of electromechanical systems by means the least square method with digitalization of real time measurements data. Increasing of the diagnostics accuracy with decreasing of the time discretization step of measured data digitalization shown through computer simulations proves correctness of the developed generalized approaches and it gives the ways of the further researches.

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Published
2024-10-07
DOI
https://doi.org/10.1109/khpiweek61434.2024.10878040
Primary Topic
Engineering Diagnostics and Reliability
Type
article
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article

Electromechanical Systems Continuous Diagnostics Through Parametric Identification and Products Digitalization

Irina Kolupaieva, Ігор Невлюдов, Yurii Volodymyrovych Romashov
Engineering Diagnostics and Reliability
article

Electromechanical Systems Continuous Diagnostics Through Parametric Identification and Products Digitalization

Irina Kolupaieva, Ігор Невлюдов, Yurii Volodymyrovych Romashov
article en

Abstract

Formalized universal approaches, which can be suitable for industrial products digitalization implementations providing the real time continuous technical diagnostics of electromechanical systems are developed. These approaches are based on the parametric identification of electromechanical systems by means the least square method with digitalization of real time measurements data. Increasing of the diagnostics accuracy with decreasing of the time discretization step of measured data digitalization shown through computer simulations proves correctness of the developed generalized approaches and it gives the ways of the further researches.

Kharkiv National University of Radio Electronics (UA), V. N. Karazin Kharkiv National University (UA)
Openalex Percentile: Top 70%
Engineering Diagnostics and Reliability
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