"Assessment of the residual service life of wheeled motor units: methods, problems and prospects"

This article analyzes existing scientific approaches to assessing the residual life of wheel motor blocks, including statistical, diagnostic, modeling, and artificial intelligence-based methods. The advantages of each method are examined alongside their practical limitations. The author provides recommendations for implementing hybrid approaches, multi-parameter assessment systems, and the development of practical data bases tailored to the operational conditions in Uzbekistan. The article aims to improve the efficiency of technical maintenance, enable early fault detection, and ensure the operational reliability of motor blocks.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15359611
Primary Topic
Engineering and Agricultural Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

"Assessment of the residual service life of wheeled motor units: methods, problems and prospects"

Zenodo (CERN European Organization for Nuclear Research)
Engineering and Agricultural Innovations
article

"Assessment of the residual service life of wheeled motor units: methods, problems and prospects"

article en

Abstract

This article analyzes existing scientific approaches to assessing the residual life of wheel motor blocks, including statistical, diagnostic, modeling, and artificial intelligence-based methods. The advantages of each method are examined alongside their practical limitations. The author provides recommendations for implementing hybrid approaches, multi-parameter assessment systems, and the development of practical data bases tailored to the operational conditions in Uzbekistan. The article aims to improve the efficiency of technical maintenance, enable early fault detection, and ensure the operational reliability of motor blocks.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent State Transport University (UZ)
Openalex Percentile: Top 63%
Engineering and Agricultural Innovations
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.