PARTNERS 2018

Siemens

CO-SPONSORS

Fugro

Close Networking Opportunities

Meet Senior Decision Makers From:


  • Network Rail
  • CrossRail
  • Transport for London
  • Banedanmark
  • Ministry of Transport & Communications
  • Athens Urban Rail Transport

With The Following Job Titles...


  •     Head of Track
  •     Director of Maintenance
  •     Asset Managers
  •     Track Section Managers
  •     Safety Managers
  •     Head of Quality
  •     Track Maintenance Engineer
  •     Route Asset Manager
  •     Infrastructure Programme Director
  •     Senior Project Manager
  •     Maintenance Performance & Reliability
  •     Programme Improvement, Integration & Delivery
  •     Reliability Improvement
  •     Asset Management Competence

Agenda

DAY 1: Tuesday, 26 June 2018
PREDICT AND PREVENT: REDUCING TIME-BASED MAINTENANCE AND TRANSITIONING TO A PROACTIVE, DATA-LED APPROACH TO MAINTENANCE

8.30 Coffee and Registration

9.00 Chairs Welcome and Introduction

Tim Flower, Head of Maintenance, Network Rail
KEYNOTE PANEL

9.05 Optimising Infrastructure Maintenance From Utilising Predictive Maintenance And Implementing innovative New Technologies

  • Comparing user experiences from European infrastructure operators with utilising predictive maintenance and big data to run more trains on the network safely   

9.35    Questions and Discussion

CASE STUDY

9.45 Utilising Data To Reduce Manual Surveys And Infrastructure Inspection - How To Turn Data Into Value For Rail Infrastructure Managers

  • Driving value from data: how do you extract value from your data?
  • How do you run more trains safely and how can you do that without increasing the cost of inspection by using the data you have more effectively?
  • Maximising use of available data across different disciplines involved in maintenance, including operations and plant
  • Using data to plan a maintenance optimisation strategy
  • Developing more efficient work practices (more work in less time)

Tim Flower, Head of Maintenance, Network Rail

10.15    Questions and Discussion

10.20 Holistic Approach: Predict And Prevent Maintenance Outcomes To Optimise The Availability Of The Network Through Data Analytics And Predictive Maintenance

  • Analyse track-monitoring outcomes to improve cycle-times for maintenance
  • Presentation and cleansing of the information: How to manage continuous data coming from measuring tools with the data coming from manual devices?
  • Understanding what's the right level of information to make decisions on which works have to be prioritize.
  • How we make the data accessible to the industry to develop effective innovative solutions?

Johannes Emmelheinz, CEO Mobility Services, Siemens

10.40    Questions and Discussion

10.40    Networking Break in the Exhibition Showcase Area

CASE STUDY

11.15 Sharing Results On Successfully Predicting Infrastructure Failures

  • What kind of data is being used to identify possible infrastructure failures?
  • Which data represents the highest quality or highest value for predictive models?
  • In which categories can you predict failures and defects? (e.g. switch failures, train induction, rail body)
  • Changes in work processes and how to work co-operatively with contractors
  • Decision making processes for predictive maintenance strategies

Daniel Eckenstein, Asset Manager of Track, SBB

Katharina Mellert, Head of Data Labor Track, SBB

11.45    Questions and Discussion

CASE STUDY

12.00 Utilising Diagnostic Data To Optimise Surveys And Infrastructure Maintenance - How To Turn Diagnostic Data Into Value For Urban Transport Infrastructure Managers

  • The Urban Transport System in Rome
  • Driving value from usage of infrastructure condition data: how do you extract value from your diagnostic data? New management trends
  • How do you run more trains safely and how can you do that without increasing the cost of maintenance by using the diagnostic data you have more effectively?
  • Modern Vehicle /Train Systems Configuration: Rome case study
  • Maximising use of diagnostic data across different disciplines involved in maintenance, including catenary
  • Using diagnostic data and software tools to plan a maintenance optimisation strategy
  • Solutions for Developing more efficient work practices (more work in less time)

Raffaele Santulli, Infrastructure, Property and Equipment Maintenance Manager, ATAC SpA

12.20    Questions and Discussion

DIGITALIZATION OF TRACK MAINTENANCE

12.25 Using Multiple Data Sources To Evaluate Infrastructure Track Work Bank And Ensure Quality Assurance And Integrity

  • Cleansing of data and getting ready for the future: LU will present an insight into the current and future arrangements of collecting track data using its fleet of passenger and dedicated Track recording Vehicles. The challenges of fitting kit to tube gauge trains and achieving cost effective data collection, train pathing and balancing the demands for data collection, system maintenance and the passenger service.
  • Data hierarchy and data structures: LU will explain just how it manages to transmit terabytes of data (including video) every day from 10 different vehicles as well as dedicated test trains and how it processes that data, ensures its integrity and makes it available to users within a corporate IT network. How data is converted into meaningful information for both immediate action and longer term planning and how its prioritised and integrated into a track work bank will also be explained.
  • Connecting people and data: LU experience in maintenance, its culture and standards adapting to the new data sources and frequencies will be explored. The presentation will also look at what the maintainer really needs that sometimes differs from the frontline perception!

Paul Vincent, Principal Remote Track Monitoring Engineer, TFL Engineering

12.45    Questions and Discussion

12.45    Lunch in the Networking Exhibition Area

13.50 Future Applications Of Artificial Intelligence And Machine Learning For Deep Maintenance Data Utilization

  • Using new tools for big data and machine learning to move towards new models of very deep maintenance.

14.15    Questions and Discussion

14.20 Integrating IOT Applications To Assist Asset Management And Predictive Maintenance Programmes 

  • Challenges of integrating the Internet of Things into your asset management strategy and obtaining end-to-end solutions rather than just individual products
  • Predictive algorithms and linking them to asset management systems
  • Technical and commercial challenges associated with combining and integrating various systems with enterprise asset management systems

14.45    Questions and Discussion

PRACTICAL IMPLEMENTATION OF THE LATEST INNOVATIONS IN TRACKSIDE MONITORING TECHNOLOGIES TO IMPROVE COST, SAFETY AND AVAILABILITY OF INFRASTRUCTURE ASSETS
PANEL SESSION

14.50 Applying New Innovative Technologies To Detect And Predict Climate Related Track Events And Increase Security & Safety Of Transport - Assessing The Pros And Cons Of The Different Detection and Monitoring Technologies?

  • Innovative track and infrastructure detection technologies for snow & rock avalanches and flooding
  • How can we help contractors develop the right technology that help us maximise safety and reduce time reaction for future events?
  • What's the best way forward? What kind of technologies should we focus on? What's the market offering in detection & signalling systems and how reliable are these?
  • Feedback from signalling
  • Faulty mechanism detection systems & failure modes
  • Fibre optic - sensory track technology

15.20 Refreshment Break in the Networking Exhibition Area

TECHNOLOGY PANEL

15.50 Evaluation Of New Technologies For Collecting And Analysing Data Using Trackside Monitoring Technologies

How do we intelligently adopt new technologies when all safety cases are built on conventional technologies?  What technologies are out there, what do different countries use? Are we up to speed with what's available or are we behind? 

  • Cameras, laser beams, detection fences and new fibre optic cable applications
  • Vehicle based monitoring devices
  • Mobile devices to keep control over short transaction
  • Remote condition monitoring
  • V-bank
  • Recoding vehicles or static, recording the fixed asset
  • Accelerometers
  • Daily route systems
  • Laser scanning of the infrastructure, to what extent is this being carried out throughout the entire network or being deployed just on single projects
  • Management of ultrasonic to identify defects in the rails

Nick van den Hurk, Principal Consultant Rail Transport, Fugro

16.35 Deploying Automation and Robotics Technologies For Inspection 

  • Exploring new automated technologies and automated maintenance tools
  • Automated track inspection - how can automation reduce ballast on the track?
  • Ensuring safety issues are managed when deploying robotics solutions for maintenance

17.00    Questions and Discussion

17.05 New Technology Developments For Monitoring The Immediate Track Environment 

  • Managing the immediate track environment including vegetation
  • Understanding the issues vegetation poses to track works
  • How safe is the track and how do you identify where the next risk is coming from

17.30    Questions and Discussion

17.35    Chair's Closing Remarks

17.40    Drinks Reception in the Networking Exhibition Area

DAY 2: Wednesday 27 June 2018
IMPROVING MAINTENANCE BUSINESS MODELS TO OPTIMISE TIMELY DECISION-MAKING FOR SAFETY, SCHEDULING, AND SYSTEM CAPACITY ISSUES

8.30 Coffee and Re-registration

9.00 Chair's Welcome to Day 2

Paul Barnes, SPM Asset Management, Network Rail
PANEL DISCUSSION

9.05 Outsourcing Or In-House? How To Get The Best Possible Yield From The Market

  • What to outsource? When to outsource?
  • How many resources do we need and how to control the outsourcing?
  • How to control the quality or the availability of your efforts when somebody else is doing work on it?
  • What other European railway operators are using and covering in maintenance?
  • Cost efficiency of outsourcing

Johannes Emmelheinz, CEO Mobility Services, Siemens

CASE STUDY: SWITCHES AND CROSSINGS

09.35 Using New Technology And Machine Learning Techniques For Maintenance And Predictive Analytics Of Switches And Track Circuits

  • What can be achieved through simple measurements of current and time for switches and track circuit
  • Track circuits in the cloud, presentation of Bane NORs solution for track circuit monitoring by different current measurements
  • Specific safety information available - how to handle this warning
  • The track circuit as an antenna - what can be detected
  • Which added parameters/measurements is strategic to add for better prediction
  • Value adds by using machine learning at these object
  • Change of inspection routines by using condition monitoring
  • How to handle cross - discipline root causes
  • Corporation with traditional measurements methods

Anna Gjerstad, Manager Smart Maintenance, Bane NOR

10.00    Questions and Discussion

10.05 How To Maintain the Environment of your Switches and Crossing

  • Pricing in monitoring
  • Embedded service monitoring
  • Sensory monitoring - how to maintain them the best way, how to measure
  • MPI, Maintenance Performance Indicator
  • Optimization
  • Safety of the switches
  • Inspect crossings and turnouts - accurate measurement
  • Geometry measurement of the switch or turnout
  • Video inspection of the turnouts collection and machine-learning identification, using machine-learning techniques for the identification of potential defects of switches, using another technology or better using both technologies combined

Dr Sin Sin Hsu, Head of Track Engineering, Network Rail (High Speed 1) Ltd

10.25    Questions and Discussion

PANEL DISCUSSION TAMPING

10.30 Using Measurement Data For Quality Benchmarking Of Tamping To Identify Return On Investment

  • Measuring the quality of the tamping and comparing with other infrastructure providers
  • Use of measuring data to see what the quality is before and after the maintenance operation and after the operation
  • Obtaining intelligent results

Peter Juel Jensen, Project Manager Track Systems & Development, Banedanmark

Ian Dean, Project Engineer Track, Network Rail

10.55    Questions and Discussion

11.00    Refreshment Break in the Networking Exhibition Area

11.30 Efficient Planning Of Tamping

  • Utilization of tamping and how to better align material tamping
  • Using liability switching crossings
  • How are railways maintaining the environments of their switching and crossings?

11.55    Questions and Discussion

12.00 Planning Tools To Improve Manpower Scheduling And Reduce Workman Fatigue To Help Programme Infrastructure Maintenance Around The Condition Of Infrastructure Assets

  • Working methods and new tools to help reduce fatigue and improve work productivity
  • Correction of planning tools that are working in the railway environment
  • Understand how you can link railway work to railway access with available resources

12.25    Questions and Discussion

CASE STUDY

12.30 Developing Safe Working Strategies And Improving Manpower Planning For Track Maintenance

  • Different country's perspectives and how we can learn from others
  • Specialised inventory programmes
  • Operating safety systems and risk assessment estimation - how is connected with maintenance teams
  • How we interact with the data and new technologies to help achieving efficiency in the work environment for safety issues
  • Increase Safety measurements to support risk factors - How can you measure the problems of the maintenance activities?
  • Failure and repair timings
  • Drainage and track formation

12.55    Questions and Discussion

12.55    Lunch in the Networking Exhibition Area

PANEL DISCUSSION

14.00 Continuous Improvement On Managing Human Factors And Safety in Track Maintenance
'From one side, we have people, engineers and technicians alike who go out there usually at the night-time doing work, so the hands-on type people. And from the other side, we have the people who manage those people. And we have the people who do the remote condition, utilizing technology and/or driving modules up and down the tracks to do data recording. So, understanding changes from new technology and human interaction have a significant part to play in managing safety and assessing risk.'

  • Identifying measures to identify the behaviours and risks
  • Safety issues due to: replacement of humans with technology and automation
  • Mind set: What we have to achieve from the top management to the ground floor to drive continuous improvement and operational excellence?
  • Identify behaviours of all the stages to improve decision making processes
  • Developing new skill sets: training, education, monitoring, certification and the role of apprenticeships.

14.30 Asset Management And Management Of Deterioration

  • How do you determine when to intervene and when not to intervene?
  • How you manage to get a bit more out of the assets to offset the maintenance intervention?
  • How to use new technology to improve cost, safety and availability of our assets?
  • Notification of ISO55001 to make right investment decisions
  • The need to extend the life of the assets - Better ways through devising the cash available
  • Rail grinding and stone blowing for extending the life of the rail

14.55    Questions and Discussion

15.00    Refreshment Break in the Networking Exhibition Area

15.30 Successful Application of Mobile Maintenance Trains and Other Mobile Applications in the European Rail Industry

  • Camera equipment to increase level of accuracy along with data analysis and manipulation to take people away from the work load line- User Friendly products
  • Mobile technologies
  • Computerization
  • Improve manuals and competences
  • Cost benefits compared with manual surveys

Marco Gallini, Head of Diagnostics and Maintenance Machines, RFI S.p.A.

16.00    Questions and Discussion

ERP AND IT SYSTEMS FOR PREDICTIVE MAINTENANCE

16.10 Implementing Data From Different Systems Within One Platform -National Infrastructure Operators Case Study

16.30    Questions and Discussion

INFORMATION SHARING PANEL

16.35 Building Collaboration And Communication Links Between European Railway Infrastructure Organizations

  • Competitiveness of the market has changed
  • Sharing and learning experiences between railway operators
  • Ways to improve communication between European railway operators and infrastructure owners
  • How to help solution providers develop accurate, cost-efficient solutions
  • Overcoming language barriers

Paul Barnes, SPM Asset Management, Network Rail

17.00 Chairs Closing Remarks and Close of Conference

SEB

Key Themes

Sessions will include:

Utilising Predictive Maintenance And Implementing Innovative New Technologies
Sharing Results On Successfully Predicting Infrastructure Failures
Handing And Managing Big Data To Predict Infrastructure Deterioration
Evaluate Infrastructure Inspection Methods And Ensure Quality Assurance And Control
Utilising Data To Reduce Manual Surveys And Infrastructure Inspection
Artificial Intelligence And Machine Learning For Deep Maintenance Data Utilization
Integrating IOT Applications
Detect And Predict Climate Related Track Events And Increase Security & Safety Of Transport
Trackside Monitoring Technologies
Automation and Robotics Technologies For Inspection
Predictive Analytics Of Switches And Crossings
Efficient Planning Of Tamping
Planning Tools To Improve Manpower Scheduling And Reduce Workman Fatigue
Developing Safe Working Strategies
Successful Application of Mobile Maintenance Trains and Other Mobile Applications in the European Rail Industry
Asset Management And Management Of Deterioration
Outsourcing Or In-House? How To Get The Best Possible Yield From The Market
Continuous Improvement On Managing Human Factors And Safety in Track Maintenance
Building Collaboration And Communication Links Between European Railway Infrastructure Organizations

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