Rolling Stock Maintenance 4.0 2023

TechTalk Webinar Series 


Webinars are free-to-attend for rail professionals.
TechTalks are 40-60 minutes long; are presented LIVE and are interactive. If you can’t make a session LIVE register anyway – All registrations will receive a link to view the webinar recording On-Demand. You are welcome to submit questions before as well as during the session
Headline Sponsor

Maintenance Equipment Parter

Cyber Security Partner

Mon. 20 June 10:00 (CET) OnDemand

Optimising Smart Data Through Harnessing The IoT For Cost Efficient Predictive Maintenance & Fully Optimised Asset Management

  • Effectively deploying IoT data for predictive maintenance
  • Modernising maintenance through data analytics and insight
  • Harvesting big data to reduce operational costs
  • Deploying big data to increase profitability
Mon. 20 June 12:00 (CET) OnDemand

Maximising The Benefits of Big Data For Asset Management Using Digital Twins

  • Digital Twins: Accelerating the digital transformation in the rail sector
  • Exploring the opportunities for digital twins in the rail sector and highlighting the research and innovation within this technology as a pivotal driving force in rail’s digital transformation.
Mon. 20 June 14:00 (CET) OnDemand

How To Mitigate The Big Data Cyber Security Risk

  • We must be aware that cyber-threats are as versatile and dynamic as the digital world and its applications
  • Understanding the relationship between big data and cyber security can help any company to better determine what capabilities it must develop or acquire in order to take full advantage of the data they have as well as keep that data safe.
  • Examining the complexity and growth of big data and cyber-threats for the rail sector
  • Outlining and effective cyber-security strategy for the rail sector
  • Ensuring the interconnectivity of IoT and blockchain to ensure data security
Mon. 20 June 16:00 (CET) OnDemand

Data-Driven Lifecycle Optimisation

  • Improving performance through smart data use
  • 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
Tue. 21 June 10:00 (CET) OnDemand

Digital Asset Management For Rail Systems – A Holistic Approach For Improved Asset Performance 

  • Maximize the value from your rail assets over their entire lifecycle
  • The mix of condition based, predictive & classical maintenance strategies
  • Balancing performance, costs, and risks of rail systems according to ISO 55001
  • Optimize your operation, maintenance, and renewal planning activities.
  • Achieve and sustain the highest system reliability
  • Minimise service disruptions while optimizing whole-life cost even in light of harsh contraints
  • Get intelligent and integrated asset performance management and asset investment planning solutions
Tue. 21 June 12:00 (CET) OnDemand

Automated Visual Inspection: Data Insight For Greater Vision

  • Automated inspection of rolling stock dramatically improves maintenance workflows
  • Condition monitoring solutions enable the detailed condition assessment of rail assets from wheel surface condition to full train inspection
  • Machine vision technologies support automation
  • Image data acquisition
  • Image and data processing
  • Fault detection and alarm generation
  • Automation solutions
Tue. 21 June 14:00 (CET) OnDemand

Maximising The Benefits Of Big Data For Asset Management

  • Application of existing data to increase the efficiency of  your maintenance strategy and reduce the maintenance effort
  • How to leverage your project data and use predictive analytics to make smarter decisions, reduce risks and also finish on time and budget.
  • How to ensure successful transformation of maintenance regimes through collaboration.
  • Turning data into insight, making digital decisions with real-world benefits
Tue. 21 June 16:00 (CET) OnDemand

How Can We Measure The Benefits Of Digitalization Within The Railway Industry?

  • Operations Optimization: Asset health status, selection of best suited asset according to the purpose, operations performance reporting, smart troubleshooting during operation
  • Maintenance Efficiency Improvement: Maintenance performance reporting, extension of time-based maintenance intervals, changing from time-based to condition-based maintenance
  • Renewal Forecast Improvement: Renewal forecast and triggering, renewal scenario development, renewal process planning
  • Availability Improvement: Asset health prediction, smart failure finding, maintenance bundling of infrastructure assets
  • Reliability Improvement; Smart root-cause finding, failure reporting to identify failure drivers, component failure prediction
  • Whole-Life Cost Optimization: Identifying anomalies in resource demand, forecasting spare-part demand, creating optimal scenarios for balancing costs, performance, and risk
Wed. 22 June 10:00 (CET) OnDemand

Value-Based Decision Making: A Best Practice of ISO 55000 For The Rail Industry

Wed. 22 June 12:00 (CET) OnDemand

How Wayside Is Being Used: Bogie Condition Monitoring (WID)

  • Considering bogie condition monitoring, primarily bogie geometry and lateral running position of wheelsets
  • Considering how data inter-relates from different wayside monitoring systems
  • How the data translates to damage to wheelsets and bogie components
  • How leading indicators and alarm levels are both used
Wed. 22 June 14:00 (CET) OnDemand

Is Your Workshop Already Digital? How To Make The Most Of Integrated Rolling Stock Maintenance (ZEDAS)

  • How to make the most of integrated rolling stock maintenance
  • Make daily work easier for workshop staff with apps and checklists
  • Reduce communication effort through automatic data flow along the entire process
  • Benefit from automatic measurement data integration through interfaces
  • Automatically ensure audit-prof. documentation according to current standards
  • Plan resources efficiently and easily (even the long-term)
  • Forecast wheelset wear, investment needs and staff capacity for the best possible use of resources
  • Obtain key figures at the push of a button for well-founded management decisions?
  • Increasing the availability and reliability of your vehicle fleet
Wed. 22 June 16:00 (CET) OnDemand

Wheelset Management Using Accurate Real-Time Information

  • How the use of continuous condition monitoring information can be used to optimise wheel maintenance planning
  • Detection of wheel defects with continuous vibration monitoring
  • How early detection of wheel damage can extend wheel life.
  • How early detection of wheel damage can optimise wheel maintenance planning
  • How condition monitoring can be used to extend planned turning intervals
Thur. 23 June 10:00 (CET) OnDemand

How Can The Latest Innovations Drive The Reduction Of Rolling Stock Maintenance Cost?

  • How adopting the latest technologies can result in a net reduction in the amount of money it costs to run & maintain your trains
  • Developing a more pragmatic & optimised maintenance plan for new fleets
  • Identifying the major current challenges in rolling stock maintenance and potential solutions
  • Deciphering real time information and successfully utilising that data: Identifying and extracting meaningful data, unknown information, reducing cost and increasing availability
  • How can a Railway Authority remove the risks of digital transformation and guarantee successful predictive maintenance?
  • How to qualify the economic balance, cost vs benefits
Thur 23 June 12:00 (CET) OnDemand

Combining Condition And Predictive Based Maintenance Regime To Deliver Success – Delivering Results On Cost Reduction, Fleet Reliability & Efficiency 

Thur. 23 June 14:00 (CET) OnDemand

Successfully Implementing Lean & Cost-Effective Predictive Maintenance Strategies Simultaneously

  • Understand the initial implementation challenges faced and how to overcome these
  • Reduce the frequency of maintenance tasks leading to reduced downtime
  • Practical examples on using predictive analysis to deliver actual results
Thur. 23 June 16:00 (CET) OnDemand

Best Practice Application Of Condition Based Maintenance & Making Better Use Of Existing Technology

  • Implementing cost-effective solutions for older legacy fleets
  • Managing realistic expectations on what technology can deliver
  • Moving from regular interval maintenance to condition-based maintenance
  • Prioritising key components and subsystems for condition-based maintenance
  • Practical examples of data-driven decision making that reduces maintenance frequency
Fri. 24 June 10:00 (CET) OnDemand

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

  • 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
Fri. 24 June 12:00 (CET) OnDemand

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

  • 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
Fri. 24 June 14:00 (CET) OnDemand

Vehicle Monitoring Vehicles – Predictive Methods From Vehicles Systems Diagnostic Data

  • Vehicles Monitoring Themselves
  • Vehicle maintenance regimes
  • Smart maintenance using artificial intelligence
  • Building recurrent neural networks to predict failure events
  • Intelligent fleet maintenance scheduling
Fri. 24 June 16:00 (CET) OnDemand

Turning Data Into Actions To Improve The Efficiency Of Operations And Maintenance Execution: Innovating Dynamic Maintenance Leveraging ‘Big Data & IoT 

  • 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

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

  • 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, maximised productivity, increased profitability and customer experience

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


Collision Avoidance Systems: Environment Observation Technology


Distributed Acoustic Sensing (DAS) For Railway Monitoring  

  • 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

If your company is interesting in hosting or sponsoring a TechTalk as part of this years Rolling Stock Maintenance 4.0 Webinar Series please reach out to us USA +1 (313) 799 2911 or Europe +44 (0)7932 631 029

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