The document describes the SIA project which aims to develop four new services to provide prognostic health information for railway assets. The services will integrate sensors on vehicles to monitor wheel-rail and pantograph-catenary interaction, a data hub for positioning and communications, degradation models, and a visualization platform. This will allow early detection of issues like wheel flats or broken rails to support maintenance planning by infrastructure managers and train operating companies.

1. SIA – GNSS contribution to
rail asset management
19.03.2019, Vienna
Wolfgang Zottl, ÖBB-Infrastruktur AG

2. SIA Main Goal
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iWheelMon
iPantMon
iRailMon
iCatMon
To develop four ready-to-use new services to provide prognostic information about the
health status of the railway’s most demanding assets in terms of maintenance costs, at
the points of the interaction between the vehicle and the infrastructure (wheelset,
pantograph, rail and catenary)
Common features:
• Plug-in WW based on Web App
• Real-Time info about assets’ status
• Prognostic health status assessment
• Integration with operation systems

3. SIA Concept & Components
3
SIA_VP: Vehicle prognostic health monitoring visualization
Integration in alreadyexisting vehicle maintenance information system
SIA_DH: Data Hub with localizationand time
stamping, and communications
SIA_NoS: Network of sensors to capture interactionbetweenvehicle and
infrastructure (wheel to rail and pantograph to catenary)
SIA_CDM:Vehicle component degradation models
Integration in alreadyexisting infrastructure maintenance information system
SIA_VP: Infrastructure prognostic health monitoringvisualization
SIA_CDM:Infrastructure componentdegradation models
Top rail RCF KPI: crack depth
10mm
7,5mm
5mm
2,5mm
Situación de tramo
“j” en línea “i”
-t 0 +t
Rail LWR
Rail TWR
Rail LWL
Rail TWL
Rail RCF Top
Rail RCF Botton
Rail dips R
Rail dips L
Rail corrugation R
Rail corrugation L
Rail longC R
Rail longC L
Vertical alignment
Vertical alignment
Rail twist
S&C wear direct– blade
S&C wear diverted –blade
S&C RCF direct– blade
S&C RCF diverted –blade
S&C wear – nose
S&C RCF – nose
S&C plastic deformation – nose
Pad fatigue
Clamp fatigue
Sleeper fatigue
0,5mm
Amolado
Renovación rail
Inspección
Top rail RCF – maintenance actions
P6_ConfigHERMES Menu
+4σ
-4σ
+6σ
-6σ
+2σ
-2σ
+4σ
-4σ
+6σ
-6σ
+2σ
-2σ
+4σ
-4σ
+6σ
-6σ
+2σ
-2σ
-5y +5y
P1_ConfigHERMES Menu Print
Development of low-cost sensor nodes (SIA_NoS) for wheel to
rail and pantograph to catenary interaction characterization.
• Sensors
• Pre-processing Hardware
• Wireless communications
• Autonomous / Wired Power supply
Development of data hub (SIA_DH) that collects on-board
information, provides accurate position and time stamping with
high availability, and transmits the information to a trackside
visualization platform.
• Galileo Initial Services multi-constellation /
multi-frequency approach
• EGNOS information
• IMU
• Finger printing algorithms

4. SIA Concept & Components
4
Development of predictive component degradation models
(SIA_CDM) that will enable to connect the monitoring
information from wheelset, rail, catenary and pantograph with
the asset management information system of end-users.
• Physical models
• Combination with monitored data
Development of a visualization platform (SIA_VP) with two
plug-in software modules specific for the railway
infrastructure (track and catenary) and vehicle maintenance
(wheelset and pantograph).
• Cloud hosted
• Big-Data visualization techniques
• Prognostic health monitoring of the key assets
• Real-Time early detection service of
wheel flats and broken rails
IMs or maintenance
subcontractors
IMs information system
Top rail squat KPI: crack depth (mm)
10mm
7,5mm
5mm
2,5mm
Localization within the network
-t 0 +t
Visualization timeframe
Rail LWR
Rail TWR
Rail LWL
Rail TWL
Rail SquatR
Rail SquatL
Rail dips R
Rail dips L
Rail corrugation R
Rail corrugation L
Rail longC R
Rail longC L
0,5mm
Rail defect selection menu
Maintenancerequired level
Renewal required level
Critical failurelevel
SPEED RESTRICTION
GRINDING
LINE BLOCKING
RAIL RENEWAL
iRailMon and iCatMon
plug-in web based
applications
TOC information system
iWheelMon and iPantMon
plug-in web based
application TOCs or maintenance
subcontractors
On-board constituents Track sidecloud server constituents
SIA_CDMSIA_NoS
SIA_DH SIA_VP
Wheel, rail,pantograph and
catenary degradation models
Visualization platform
customized for IMs and
TOCs needs
EGNSS-based positioning,and
communications
Wheel to rail and catenary to
pantograph interaction sensors
SIA constituents
END USERSERVICESERVICE BACKBONE

5. POTENTIAL END USERS
SIA Consortium
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6. Thanks for your attention!