Safe and reliable rail vehicles with the monitoring system and service
Despite growing awareness of predictive maintenance as a means of reducing cost and improving reliability in the rail industry, its use is still limited. Operators can struggle to get accurate and useful data from their infrastructure and rolling stock in time to draw the right conclusions and plan corrective actions. Noise and vibration monitoring can close this gap by allowing data collection on a daily basis which enables the early identification of trends and emerging issues. Field data indicates that the information derived from this type of monitoring is particularly useful to optimise an operator’s grinding and noise management programmes leading to cost savings and enhancing their reputation.
Life-cycle-cost (LCC) considerations need a consistent monitoring.
– Information at your fingertips for internal and external validation
– Long and mid-term optimization for LCC considerations
– Independence of measurements, increase internal Know-How
– Today’s technology allows for constant infrastructure and vehicle driven data collection and analysis.
Setup at neuralgic network knots, wayside monitoring units primarily collect sound and vibrational data of passing vehicles.
Train borne monitoring units installed in regular vehicles record noise, vibrational data and pantograph impacts. A few regular vehicles collect much more statistically robust data in considerable shorter time than dedicated measuring vehicles can do.
Stationary unit to record data from passing vehicles
Unit installed on bogie
Infra dashboard – collected data from reference vehicles
Average network noise and vibration compared to filtered hot spot regions
– Comparisons between months helps to track the efficiency of implemented measures.
Fleet dashboard – parameters by vehicle
– Sound files of all vehicles passing the location.