Modern railway asset management foresees the collection of a several data in order to monitor infrastructure conditions. Nowadays the infrastructure monitoring task is accomplished by high performance measuring devices able to collect huge amount of data, among which rail alignment defect may play a critical role since they may affect safe train operation and therefore maintenance interventions. In this paper a new analysis approach following a large experimental measurement campaign carried out on a suburban narrow-gauge railway network operating in the Naples metropolitan area is presented. The data was obtained using the Plasser device (POS/TG System), directly mounted on a vehicle Fe ETR 220’s wheelset during its regular operation. Track cant, level, gauge and twist were collected several times a year since 2009 to 2011 with a 25 cm sampling interval. Preliminary results seem to indicate that by coupling track geometric data analyzed so far with alignment and traffic, a more effective evaluation of track defect can be obtained.
Preliminary Analysis of Rail Defects Collected by High Performance Measuring Devices
D'APUZZO, Mauro;
2014-01-01
Abstract
Modern railway asset management foresees the collection of a several data in order to monitor infrastructure conditions. Nowadays the infrastructure monitoring task is accomplished by high performance measuring devices able to collect huge amount of data, among which rail alignment defect may play a critical role since they may affect safe train operation and therefore maintenance interventions. In this paper a new analysis approach following a large experimental measurement campaign carried out on a suburban narrow-gauge railway network operating in the Naples metropolitan area is presented. The data was obtained using the Plasser device (POS/TG System), directly mounted on a vehicle Fe ETR 220’s wheelset during its regular operation. Track cant, level, gauge and twist were collected several times a year since 2009 to 2011 with a 25 cm sampling interval. Preliminary results seem to indicate that by coupling track geometric data analyzed so far with alignment and traffic, a more effective evaluation of track defect can be obtained.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
