DEPENDABILITY INDICATORS OF MODELS OF FAILURES OF ELECTRICAL EQUIPMENT OF DISTRIBUTION ELECTRICAL NETWORKS

The authors consider digitalization processes in the construction industry, give assessments of AI systems and the efficiency of neural networks in the process of creating new facilities and their design, assess the potential for automating this market niche, based on demand conditions and the growing need for infrastructural changes in most countries of the world.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.34660/inf.2022.68.48.103
Primary Topic
Belt Conveyor Systems Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DEPENDABILITY INDICATORS OF MODELS OF FAILURES OF ELECTRICAL EQUIPMENT OF DISTRIBUTION ELECTRICAL NETWORKS

V. Ya. Khorolsky, A.M. ISUPOVA
Belt Conveyor Systems Engineering
article

DEPENDABILITY INDICATORS OF MODELS OF FAILURES OF ELECTRICAL EQUIPMENT OF DISTRIBUTION ELECTRICAL NETWORKS

V. Ya. Khorolsky, A.M. ISUPOVA
article en

Abstract

The authors consider digitalization processes in the construction industry, give assessments of AI systems and the efficiency of neural networks in the process of creating new facilities and their design, assess the potential for automating this market niche, based on demand conditions and the growing need for infrastructural changes in most countries of the world.

Stavropol State Agrarian University (RU)
Openalex Percentile: Top 77%
Belt Conveyor Systems Engineering
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.

DEPENDABILITY INDICATORS OF MODELS OF FAILURES OF ELECTRICAL EQUIPMENT OF DISTRIBUTION ELECTRICAL NETWORKS — V. Ya. Khorolsky, A.M. ISUPOVA · (2024) | TGRS Research Map | TGRS