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Mihail Campean
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2 records found
1
Smart technology solutions for the NeTIRail-INFRA case study lines
Axle box acceleration and ultra-low cost smartphones
Conference paper
(2018)
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Alfredo Nunez, Tudor Popa, Rolf Dollevoet, Zili Li, Lucian Emmanuel Anghel, Jurjen Hendriks, Jan Moraal, Laurentiu Dorin Buretea, Jon Paragreen, Berbece Miron, Draghici Gheorghe, Mihail Campean
In this paper, we present preliminary results on the development of smart technology solutions for lower density railway lines. The goal is to reach a cost effective inspection and asset management to minimize maintenance
interventions time/cost without dedicated inspection vehicles. The proposed methods include axle box acceleration measurements and ultra-low cost smartphones. The collected data will be further used to increase knowledge of the condition of the railway track and to estimate the comfort of passengers. In order to make use of the data, the data is interpreted and converted from monitoring information into management information. Feasibility and preliminary studies were conducted in the railway lines of Romania. The results presented in this paper were obtained in the framework of the H2020 project NeTIRail-INFRA, Work Package 4: Monitoring and Smart Technology. ...
interventions time/cost without dedicated inspection vehicles. The proposed methods include axle box acceleration measurements and ultra-low cost smartphones. The collected data will be further used to increase knowledge of the condition of the railway track and to estimate the comfort of passengers. In order to make use of the data, the data is interpreted and converted from monitoring information into management information. Feasibility and preliminary studies were conducted in the railway lines of Romania. The results presented in this paper were obtained in the framework of the H2020 project NeTIRail-INFRA, Work Package 4: Monitoring and Smart Technology. ...
In this paper, we present preliminary results on the development of smart technology solutions for lower density railway lines. The goal is to reach a cost effective inspection and asset management to minimize maintenance
interventions time/cost without dedicated inspection vehicles. The proposed methods include axle box acceleration measurements and ultra-low cost smartphones. The collected data will be further used to increase knowledge of the condition of the railway track and to estimate the comfort of passengers. In order to make use of the data, the data is interpreted and converted from monitoring information into management information. Feasibility and preliminary studies were conducted in the railway lines of Romania. The results presented in this paper were obtained in the framework of the H2020 project NeTIRail-INFRA, Work Package 4: Monitoring and Smart Technology.
interventions time/cost without dedicated inspection vehicles. The proposed methods include axle box acceleration measurements and ultra-low cost smartphones. The collected data will be further used to increase knowledge of the condition of the railway track and to estimate the comfort of passengers. In order to make use of the data, the data is interpreted and converted from monitoring information into management information. Feasibility and preliminary studies were conducted in the railway lines of Romania. The results presented in this paper were obtained in the framework of the H2020 project NeTIRail-INFRA, Work Package 4: Monitoring and Smart Technology.
Poster
(2018)
-
Alfredo Nunez, Tudor Popa, Rolf Dollevoet, Zili Li, Lucian Emmanuel Anghel, Jurjen Hendriks, Jan Moraal, Laurentiu Dorin Buretea, Jon Paragreen, Berbece Miron, Draghici Gheorghe, Mihail Campean
Results on the development of smart technology solutions for lower density
railway lines are presented. The goal is to reach a cost effective inspection and
asset management to minimize maintenance interventions time/cost without
dedicated inspection vehicles. The proposed methods in this paper include: 1) axle box acceleration measurements and 2) ultra‐low cost smartphones.
The data is interpreted and converted from monitoring information into
management information. Feasibility and preliminary studies were conducted
in the railway lines of Romania. The results presented in this paper were
obtained in the framework of the H2020 project NeTIRail‐INFRA. ...
railway lines are presented. The goal is to reach a cost effective inspection and
asset management to minimize maintenance interventions time/cost without
dedicated inspection vehicles. The proposed methods in this paper include: 1) axle box acceleration measurements and 2) ultra‐low cost smartphones.
The data is interpreted and converted from monitoring information into
management information. Feasibility and preliminary studies were conducted
in the railway lines of Romania. The results presented in this paper were
obtained in the framework of the H2020 project NeTIRail‐INFRA. ...
Results on the development of smart technology solutions for lower density
railway lines are presented. The goal is to reach a cost effective inspection and
asset management to minimize maintenance interventions time/cost without
dedicated inspection vehicles. The proposed methods in this paper include: 1) axle box acceleration measurements and 2) ultra‐low cost smartphones.
The data is interpreted and converted from monitoring information into
management information. Feasibility and preliminary studies were conducted
in the railway lines of Romania. The results presented in this paper were
obtained in the framework of the H2020 project NeTIRail‐INFRA.
railway lines are presented. The goal is to reach a cost effective inspection and
asset management to minimize maintenance interventions time/cost without
dedicated inspection vehicles. The proposed methods in this paper include: 1) axle box acceleration measurements and 2) ultra‐low cost smartphones.
The data is interpreted and converted from monitoring information into
management information. Feasibility and preliminary studies were conducted
in the railway lines of Romania. The results presented in this paper were
obtained in the framework of the H2020 project NeTIRail‐INFRA.