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NETWORK BREAK SPONSORS

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WHO WILL YOU MEET?

Meet Senior Decision Makers From


  • U.K. Rail Operators
  • European Rail Operators
  • Global Rail Operators

With The Following Job Titles


COOs, VPs, Directors, Managers, Team Leads & Chiefs Of...

  • Rolling Stock
  • Maintenance
  • Engineering
  • Innovation
  • Asset Management
  • State Of Good Repair
  • Equipment Maintenance
  • High Speed Rail
  • Fleet
  • Systems
  • Shops
  • Revenue Equipment

Plus:


  • Train Manufacturers
  • Maintenance Companies
  • CBM Technology Companies
  • OEMs
  • Asset Management
  • Consultancies

SKF

Reaching the rail industry's goals of increased maintenance intervals and maintenance-free targets of more than one and a half million kilometres requires accurate monitoring system algorithms to ensure that vehicles are only taken out of service for maintenance when it's actually necessary.

SKF bogie condition monitoring solutions use condition detection systems and sophisticated data processing algorithms to detect incipient damage. This allows sufficient time for repairs before significant mechanical failures can develop, helping to increase reliability and safety, while contributing to reduced maintenance costs, life cycle costs (LCC) and total cost of ownership (TCO).

With over a century of expertise in rotating machinery, SKF's technological knowledge is deep, and our proprietary early warning algorithms and our diagnostic expertise are key advantages of our condition monitoring solutions.

From components to full systems, SKF is a proven technology supplier with full bogie monitoring solutions ready to go, as well as customized technology options.

For more information, please visit: www.railways.skf.com

18 EB

AGENDA AT A GLANCE

Day One

  • Understanding The Real Opportunities And Challenges Of Introducing New Maintenance Technologies Into The Rail Sector
  • Getting The Right Balance Between Condition Based Monitoring And Corrective Maintenance
  • Case Study On Implementation Of Digitalisation Of Maintenance
  • Optimise Services And Reduce Cost With Remote Condition Monitoring
  • Performance And Reliability Optimisation Through Predictive Maintenance
  • Data interpretability
  • Machine Learning And Artificial Intelligence Applications To RSM.
  • Practical Examples Of Robotics Functions In RSM.
  • Evaluate The Pros And Cons Of Retrofitting Vs Procuring New Rolling Stock
  • Regulatory And Industry Adaptation To Digitalisation Of Maintenance

Day Two

  • Developing A Workforce Strategy To Maximise Digitalisation Of Maintenance Benefits
  • Ensuring Your IT Infrastructure Is Ready For Your New System
  • Optimising Maintenance Processes To Anticipate Adverse Wweather Conditions
  • How To Optimise Your Maintenance Processes Without Compromising Safety And Performance
  • Understanding How To Co-Ordinate Rolling Stock Downtime To Meet Maintenance Needs
  • Management Strategies For Cost Effectively Replacing Obsolete Spare Parts, Components And Materials
  • Improving Your Maintenance Organisation's Environmental Sustainability Credentials Whilst Lowering Running Costs
  • What RAMP Compliance, European Rail Traffic Management System (ERTMS) And Other Regulations Really Mean To Maintenance Of Rolling Stock

Plus:

  • Train Manufacturers
  • Maintenance Companies
  • CBM Technology Companies
  • OEMs
  • Asset Management
  • Consultancies

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