Optimising Rolling Stock Asset Management With Advanced Predictive Maintenance Solutions, Data Set Analysis, IoT & Industry 4.0

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• How To Collect And Maximise Value From Massive Data Sets From Every Aspect Of Your Operation To Reduce Cost, Minimise Downtime, Increase Capacity and Improve Services

• Effectively deploying IoT data for Predictive Maintenance

• Harvesting big data to reduce operational cost & increase profitability

How Digitalisation Is Essential To Strengthening The Sustainability-Related Assets Of Rail

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• A Digital Decarbonisation Plan

• Energy harvesting technologies used in railways

• How can we measure the benefits of digitalisation within the railway industry?

• Using digital twins concepts to drive a sustainable railway

Improving Performance Through Smart Data Use

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• Why a solid data and information architecture is important to support IoT and Big Data for your enterprise

• Effectively deploying Predictive Maintenance

• Big data systems architecture and functions

• Separating meaningful data from the mass of data collected by sensors.

Optimising Rolling Stock Asset Management With Advanced Predictive Maintenance Solutions, Data Set Analysis, IoT & Industry 4.0

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• Automated inspection and data gathering technologies

• Up-Skilling and changing the way the workforce engages with digitalization & analytics

• How to improve the team collaboration thanks to the use of a common data environment

Vehicle Monitoring Vehicles – Predictive Methods From Vehicles Systems Diagnostic Data

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• Vehicles Monitoring Themselves

• Vehicle Maintenance Regimes

• Smart Maintenance Using Artificial Intelligence

• Building Recurrent Neural Networks to Predict Failure Events

• Intelligent Fleet Maintenance Scheduling

Turning Data Into Actions To Improve The Efficiency Of Operations And Maintenance Execution, Innovative Dynamic Maintenance Planning Programme

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• From real time asset monitoring towards dynamic data and operations

Leveraging ‘Big Data & IoT To Innovate Rolling Stock Maintenance

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• What is ‘Big Data’, IoT & Industry 4.0?

• Why and how is ‘Big Data’ and IOT transferable

• Outlining the ambitions of “Big Data, IoT and 4.0

• Identifying the unknown data – data you did not know existed

• Identifying the areas and opportunities for financial gain

• Effective planning and control of maintenance tasks

• Real time monitoring of asset health

• Creating value by digitalising train operations

• SaaS ‘Software as a Service Business Model

Depot Planning & Refurbishment To Incorporate New Technology – Real-Time Robotized Maintenance of Wheelsets

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• How to decouple wheelset maintenance from bogie maintenance

• Automation of wheel maintenance by robotics

• Reducing time, workforce and errors in wheelsets routine maintenance

• Inboard bearings bogies and innovative wheel design: the key to success

• A glance to advanced solutions on wheelsets and bogie frames/suspensions

• Development and co-operation scenarios

On-board Real Time Data & Metrics, High Level Dashboards And Alerts To Monitor Operational Performance For Informed Operational And Strategic Decisions

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• Self-powered, wireless remote condition monitoring systems

• How to get access to the asset information without impacting your unit availability

• Minimise downtime and cost, improve asset usage and reliability and improve the safety

• Achieving real and measurable value through optimised efficiency, improved safety, maximized productivity, increased profitability and customer experience

Utilising The Data From Sensors That Are Already Installed In The Vehicle Subsystems; Pressure, Temperature And Acceleration Sensors

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Collision Avoidance Systems: Environment Observation Technology

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Advanced Analytics for Streamlined Operations Post-Covid

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• Tracking vehicles across networks and processing the data using analytics

• IoT to check the flow of passengers—those waiting at the stations, traveling in each train coach, and the times when the passenger flow is the highest

• Optimization of travel schedules as per commuters’ needs and demands

Distributed Acoustic Sensing (DAS) For Railway Monitoring

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• The system of DAS allows both monitoring of rolling stock and state track components: the DAS system can completely control the railways and surrounding area

• Using DAS to predict unforeseen events that are difficult to detect but are recognized reliably

• Tracking systems for the movement of trains, monitoring the track and rolling stock, as well as in the protection of railway infrastructure

• DAS application in the railway infrastructure performed with existing resources

• Combining several acoustic sensing sets into a single system to control longer tracks