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The innovation initiative “Intelligent Supervision Systems for Predictive Maintenance of Bogies based on Acoustic Emission (BEA)” with reference number RTC-2016-5410-4 is co-financed by the Spanish Ministry of Economics and Competitiveness within the framework of the 2016 RETOS Collaboration.
The project contemplates the development and integration of technologies for the monitoring and interpretation of the acoustic emissions generated during the normal operation of bogies through a sensor of monitoring, diagnosis and structural forecasting formed by a local device and a asset management platform.
La actuación “Sistemas de Supervisión Inteligente para el Mantenimiento Predictivo de Bogies basado en Emisión Acústica (BEA)” con número de referencia RTC-2016-5410-4 está cofinanciado por el Ministerio de Economía y Competitividad en el marco de la convocatoria RETOS Colaboración 2016.
El proyecto contempla el desarrollo e integración de tecnologías para la monitorización e interpretación de las emisiones acústicas generadas durante el funcionamiento normal de los bogies a través de un sensor de monitorización, diagnóstico y pronóstico estructural formado por un dispositivo local y una plataforma de gestión.
Este proyecto ha sido cofinanciado por la Unión Europea a través del Fondo Europeo de Desarrollo Regional (FEDER).
IoT in Railway infrastructure
On-going
696,677 €
Are you aware of the common challenges in #rail infrastructure monitoring? Do you know how to deploy an IoT-based #wirelessmonitoring system ?
Find out during our next #webinar here: https://t.co/FHz1swXYMq
#Loadsensing #GlobalLeader
Discover, learn and connect with us.
Meet us virtually at #INTERGEODIGITAL2020 and hear our experts talk about #IoT #WirelessMonitoring in the #RailIndustry 🚆on October 13th at 14h00 CET.
Find out more about the event: https://t.co/uIzm3CysPP
#Loadsensing #GlobaLeader
In the town of Clúa de Meià, located in the municipality of Artesa de Segre, Geobrugg installed SPIDER® cable mesh covering the hazardous areas of the slope. It was a priority to identify and study triggers for rock falling phenomena and instability mechanisms. #Loadsensing
