Дослідження способів модифікації намотувального верстату для тороїдних транс-форматорів

In the paper, the design of a winding machine for toroidal cores, developed to reduce the cost and improve the ergonomics of the machine in the process of its operation is considered. The main shortcomings of analogues are analyzed. Modifications are proposed, including the use of modern production methods to reduce the cost of the winding machine while maintaining quality performance, automation of the winding process and the introduction of a sensor system to control the quality parameters of transformer winding. Special attention is paid to the prospects for the application of machine learning algorithms to improve the quality of winding. The proposed solutions contribute to the creation of an effective and inexpensive winding machine, compared to analogues, for laboratory, educational and small-scale use.  

Publication Details

Journal
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Published
2025-10-15
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Дослідження способів модифікації намотувального верстату для тороїдних транс-форматорів

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Power Transformer Diagnostics and Insulation
article

Дослідження способів модифікації намотувального верстату для тороїдних транс-форматорів

article en

Abstract

In the paper, the design of a winding machine for toroidal cores, developed to reduce the cost and improve the ergonomics of the machine in the process of its operation is considered. The main shortcomings of analogues are analyzed. Modifications are proposed, including the use of modern production methods to reduce the cost of the winding machine while maintaining quality performance, automation of the winding process and the introduction of a sensor system to control the quality parameters of transformer winding. Special attention is paid to the prospects for the application of machine learning algorithms to improve the quality of winding. The proposed solutions contribute to the creation of an effective and inexpensive winding machine, compared to analogues, for laboratory, educational and small-scale use.  

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Affordable and clean energy
Openalex Percentile: Top 45%
Power Transformer Diagnostics and Insulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.