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

       


Agenda Day Two

Day Two:Thursday 27 June 2019

Case Studies On Predictive Maintenance, Asset Management, Tamping & New Technologies

8.00     Coffee And Registration

9.00     Chair's Opening Remarks

Claudio Capriati, Head of Scientific Board, ESIM Group

ASSET MANAGEMENT SESSION 1

9.10    Introducing Technology Into Track Maintenance To Improve Your Asset Management

Over the past 60 years track maintenance machines greatly changed how we work on track. Mechanization allowed us to reduce the amount of time employees need to spend in the danger zone. Today digitalization provides us with new technologies to go even further automating the maintenance process. As a byproduct data is created which provides key insight for the asset management.

Krzysztof Wilczek, Head of Track Analytics, Plasser & Theurer

9.40 Questions & Discussion

ASSET MANAGEMENT SESSION 2 - COST OPTIMISED ASSET MANAGEMENT

9.50    Leverage Asset Management To Maximise Maintenance Delivery & Reliability

How do you control and monitor all assets, not only track but also traction power   systems, and then capture the data from those systems so that it can be utilised correctly to deliver reliability centered maintenance and whole life?

  • Technology to support your infrastructure asset management
  • Machine learning to collate and analyse your multiple asset data
  • Pro and cons of different technologies
  • Quantifying the cost savings

Paul Vincent, Technical Lead - Track Recording and Analysis, TfL Engineering

10.20 Questions & Discussion

10.30 Morning Refreshments & Networking In the Exhibition Area

ASSET MANAGEMENT SESSION 3 - SURVEY AND INSPECTION

11.00    Asset Management through Survey and Inspection

Data is an asset in its own right as with better data, you make better decisions. Plowman Craven's world first, VogelR3D UAV system has been declared a 'Game Changer' by Network Rail.

  • Major savings in cost, programme and Health and Safety
  • 5mm accurate data collected with minimal track access
  • Shorter programme times with reduced possessions
  • Rapid mobilisation with access to particularly complex areas
  • Highest definition images seen in any infrastructure requirement
  • Pointcloud used in building BIM-ready models including station structures and viaducts

Stephen Wolski, Technical Consultant,  Plowman Craven

11.20 Questions & Discussion

TECHNOLOGY SESSION 1 - NON-DESTRUPTIVE TESTING - ULTRASONIC TESTING AND EDDY CURRENT TESTING: HAVING A COMPLETE VIEW OF THE CONDITION OF YOUR TRACK

11.30    How To Get Full Coverage Of The Rail Condition & Remove Defects

Combining ultrasonic and eddy current testing to allow you to see and have a complete idea of the condition of your track; external and internal, without damaging your infrastructures.

  • At which speed are they able to recognise defects?
  • What exact techniques are used to analyse faults?
  • How automatic are those systems?
  • How difficult are they to use?
  • Can we quantify benefits in terms of drastic savings on staffing?

Tim Vernaillen, Civil Engineer, Infra Inspections Technologie , Infrabel (Belgium)

12.00 Questions & Discussion

OBTAINING A BALANCE BETWEEN ACCURACY, REPEATABILITY, INFORMATION AND COST

12:10    Introducing ElmerĀ® - An artificial intelligence system to find rail flaws

Sperry has developed an artificial intelligence system using machine learning algorithms based on neural networks to detect flaws and features in rails. The process starts with remote measurement systems uploading hundreds of miles of rail scans each day to be automatically analysed using a scalable cloud computing system. The neural networks in the system are trained by mining a database of many years of recordings for scan signatures. This presentation describes the process of training the neural networks and how they are used to enhance the human analysis process. The presentation shows how this artificial intelligence system, currently in the process of being patented, is viable as a safety-enhancing technology.
Discussion on both this technology and the rise of artificial intelligence in general are welcomed in the Q&A at the end of the presentation.

Justin Stroud, Managing Director of European Business and Operations, Sperry Rail
Bobby Gilbert, Director of Global Innovation, Sperry Rail

12.30 Questions & Discussion

12.40 Lunch & Networking In The Exhibition Area

GRINDING TESTING STRATEGY

13:40 How To Optimise Your Grinding Activities To Improve Long Term Maintenance Strategies Whilst Saving In Cost

A good grinding strategy can dramatically reduce the amount of rail break downs by allowing long term maintenance strategy including helping with the decision making regarding rail replacement locations and scheduling.

  • Optimum frequency of grinding activities
  • Pros and cons of grinding testing
  • Cost benefit analysis

Tim Vernaillen, Civil Engineer, Infra Inspections Technologie , Infrabel (Belgium)

14.00 Questions & Discussion

HS2 CASE STUDY

14.10    HS2's Approach To Asset Management And Determining The Performance And Condition Of Track Infrastructure

This presentation will introduce a general approach to asset management of the track infrastructure using a range of technologies and methods, such as fixed asset monitoring, dynamic measurement and automated inspection techniques. Additionally Simon will introduce HS2's concept of an Engineering Management System that will help engineers visualise condition and performance of HS2 assets, in order to assist in the decision making process for maintenance interventions.

Simon Morley, Infrastructure Maintenance Engineer, HS2 Ltd

14.30 Questions & Discussion

14.40 Afternoon Refreshments & Networking In The Exhibition Area

TAMPING PANEL DISCUSSION

15.10    Maximise The Benefit Of The Tamping Machine Intervention

Tamping is a commonly practiced intervention, but what is the right moment to do so? Are we flogging a dead horse and should instead look at renewal?

  • When is best to Tamp and when to renew?
  • Cost analysis of both strategies, which is most cost effective?
  • Are there alternatives to tamping?

Michael Hayes, Tamping Delivery Manager-Asset Operations, London Underground

Graham Penfold, Route On Track Machine Engineer (Western), Network Rail

16.20 Questions & Discussion

CHECKING PERMANENT WAY USING "ONE" INTEGRATED SOLUTION

16.40    "V5" Introducing Latest Inspection And Measuring Technologies: Can You Check Permanent Way Using "One" Integrated Solution?

A new operating scenario is more and more possible and required in the railway diagnostics and maintenance: fleets of passenger vehicles equipped with diagnostic systems are monitoring the infrastructure everyday transmitting data to the maintenance offices. Concentrating track geometry measurement and 5 (FIVE) vision systems (V5) in a limited space goes in the same direction. V5 system can be fitted on to "not-dedicated" vehicles to continuously monitor the infrastructure. It is unmanned, works autonomously and transmits all relevant data in minutes. Latest vision technologies have been integrated to increase the images and 3D data definition, therefore permitting the detection of small defects while running the vehicle at high speed. The diffusion of 5G networks make this even more possible. Spreading of deep learning technology permit also facing the 4 to 6 times increase of data throughput raising the bar for detection performances. Running multiple artificial intelligences on the same processing unit is letting us perform processing during the run, reducing also the amount of false positives detections and consequently the results assessment effort from maintenance operator side by more than an half.
Mermec unique approach to combine 3D reconstruction and surface scanning has been preserved and moved to the next level. Wanna take a virtual 0.5mm walk on the track?
Stay comfortable in your control room, we can bring the clear picture to you; allowing on condition maintenance, safety critical defects prediction and consequent track availability!

Luca Carotti, Head of Engineering Department, MERMEC Group

17.00 Questions & Discussion

17.10 Chair's Closing Remarks & End Of Conference

Claudio Capriati, Head of Scientific Board, ESIM Group

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 ElmerĀ®
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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