PARTNERS

Siemens

CO-SPONSORS

Fugro PlowmanCraven ESIM Plasser Sperry MERMEC

NETWORK BREAK SPONSOR

SKF

Close Networking Opportunities

Meet Senior Decision Makers From:


European And Global Rail Track Operators


With The Following Job Titles...


Directors, Heads and Managers of:

  • Track
  • Track Maintenance
  • Track Division
  • Infrastructures
  • Engineering
  • Track System
  • Project
  • Asset Management
  • Automation Engineer
  • Data/IT
  • Diagnostics and Maintenance Machines
  • Heavy Maintenance
  • Light Maintenance
  • Tamping
  • Safety Managers
  • Head of Quality       
  • Maintenance Performance & Reliability
  • Programme Improvement, Integration & Delivery
  • Reliability Improvement

       


Krzysztof Wilczek

Head of Track Analytics

Plasser & Theurer

Krzysztof Wilczek is Head of Track Analytics at Plasser & Theurer, where he supports infrastructure providers in building their predictive track maintenance regimes.
Krzysztof has worked for the SBB (Swiss Federal Railway) where he developed swissTAMP, a system for track analysis and predictive maintenance planning. He also founded and headed the data laboratory for infrastructure at SBB, where research and big data analytics meet the challenges of asset managers. 
Krzysztof's expertise is deeply rooted in the railway industry. At the ÖBB (Austrian Federal Railway) and the Technical University Graz, he focused on the life cycle management of railway tracks.
He got his Masters Degree in Mining Engineering from the Montanuniverstät Leoben, while also studying at the University of New Orleans and University of New South Wales in Sydney.
Krzysztof is therefore an ambassador on mission to transfer new developing technologies into the railway industry for a safer, cleaner and more efficient means of transport.

Wilczek
Group

Key Themes

Agenda At A Glance

European Track Operators Perspective: Optimising Infrastructure Maintenance
The Usage Of Vision System Technology To Make Automatic Patrolling And Periodical Inspection A Reality
Optimizing Diagnostic Data To Monitor Track Conditions.
Utilize Data Effectively And Stream The Whole System: RILA -Generating The Geodetical Backbone With Continuous Dynamic Data Positioning
Examine Who Owns The Data In The Cloud & How To Take Functional Data From Different Sources
Case Study - Manage Your Assets Smarter - Intelligent Remote Track Condition Monitoring To Ensure 100% Availability
New Technology Applications For Deep Maintenance Data Utilisation: What's On The Horizon For Rail
Explore How To Transform From Regular Maintenance To Predictive Maintenance: Improving Work Practices In the Field
How To Manage Predictive Maintenance To Reduce Number Of Failures, Amount Of Unplanned Maintenance & Required Level of Reserve Asset Capacity
Combine Optimal Preventative Maintenance With Train Scheduling: Diagnose When To Do The Maintenance
Introducing Technology Into Track Maintenance To Improve Your Asset Management
Leverage Asset Management To Maximise Maintenance Delivery & Reliability Assess, Which Type Of Asset Management Is Used To Deal With The Data.
How To Get Full Coverage Of The Rail Condition & Remove Defects
An artificial intelligence system to find rail flaws - Introducing Elmer®
How To Optimise Your Grinding Activities To Improve Long Term Maintenance Strategies Whilst Saving In Cost
Maximise The Benefit Of The Tamping Machine Intervention
Checking Permanent Way Using "One" Integrated Solution

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