Zobrazeno 1 - 10
of 34
pro vyhledávání: '"wayside condition monitoring"'
Autor:
Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes, Diogo Ribeiro, Andreia Meixedo, Araliya Mosleh, Cecília Vale, Pedro Montenegro, Alexandre Cury
Publikováno v:
Railway Engineering Science, Vol 32, Iss 4, Pp 421-443 (2024)
Abstract Wayside monitoring is a promising cost-effective alternative to predict damage in the rolling stock. The main goal of this work is to present an unsupervised methodology to identify out-of-roundness (OOR) damage wheels, such as wheel flats a
Externí odkaz:
https://doaj.org/article/3756a7b582fe4bbca9b9a96603091c57
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Sensors, Vol 23, Iss 4, p 2138 (2023)
This paper aims to detect railway vehicle wheel flats and polygonized wheels using an envelope spectrum analysis. First, a brief explanation of railway vehicle wheel problems is presented, focusing particularly on wheel flats and polygonal wheels. Th
Externí odkaz:
https://doaj.org/article/c438242089c14b5f9ec29c9423aec7cb
Autor:
Mohammadreza Mohammadi, Araliya Mosleh, Cecilia Vale, Diogo Ribeiro, Pedro Montenegro, Andreia Meixedo
Publikováno v:
Sensors, Vol 23, Iss 4, p 1910 (2023)
One of the most common types of wheel damage is flats which can cause high maintenance costs and enhance the probability of failure and damage to the track components. This study aims to compare the performance of four feature extraction methods, nam
Externí odkaz:
https://doaj.org/article/907f07f5e3fb422aa1bf9f25ac4b953f
Publikováno v:
Sensors, Vol 23, Iss 3, p 1544 (2023)
The identification of instability problems in freight trains circulation such as unbalanced loads is of particular importance for railways management companies and operators. The early detection of unbalanced loads prevents significant damages that m
Externí odkaz:
https://doaj.org/article/2682f9f422874a56a54ca9456ebc882e
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Sensors, Vol 22, Iss 5, p 1976 (2022)
In railways, weigh-in-motion (WIM) systems are composed of a series of sensors designed to capture and record the dynamic vertical forces applied by the passing train over the rail. From these forces, with specific algorithms, it is possible to estim
Externí odkaz:
https://doaj.org/article/9905bd07257f4322b9cf0577a70f49e9
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 4002 (2021)
The gradual deterioration of train wheels can increase the risk of failure and lead to a higher rate of track deterioration, resulting in less reliable railway systems with higher maintenance costs. Early detection of potential wheel damages allows r
Externí odkaz:
https://doaj.org/article/9213f2197f6342d2b120205b3be458ef
Publikováno v:
Sensors
Volume 23
Issue 4
Pages: 2138
Volume 23
Issue 4
Pages: 2138
This paper aims to detect railway vehicle wheel flats and polygonized wheels using an envelope spectrum analysis. First, a brief explanation of railway vehicle wheel problems is presented, focusing particularly on wheel flats and polygonal wheels. Th
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.