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Agenda, Day One: Wednesday 4th December 2019

Best Practice Implementation On How To Make Use Of Data For Improving Reliability & Cost Reduction

08:00    Coffee and Registration

08:50    Official Opening & Chairs Opening Remarks

Stephen Head, Head of Fleet Engineering, Heathrow Express

KEYNOTE OPENING PANEL FEATURING 3 MINI CASE STUDIES

9:00    Implementation Case Studies On Realising The Benefits Of On-Board Data Collection - Which Rail Operators Are Doing This Well? What Are The Key Lessons Learned?

The opening panel features three mini case studies - including an extended audience Q&A -  sharing best practices on the implementation and interpretation of data to deliver actual results and improved outcomes.

MINI CASE STUDY 1

09:00 - 09:15    Interpreting Data To Deliver Actual Results On Reducing
Maintenance Costs, Predicting Future Condition & Optimizing The Reliability Of Onboard System & Components

Steve Turley, CEO, Perpetuum

MINI CASE STUDY 2

09:15 - 09:30    Application Of Data Analytics To Improve The Prediction Of Faults & Reduce The Cost Of Ensuring Onboard Systems Reliability - Including Power Systems, Bogies/Wheels, Air Conditioning & Door Systems

Simon Jarrett, Engineering Assurance & Development Manager, Chiltern Railways

MINI CASE STUDY 3

09:30 - 09:45    Realizing The Benefits Of On-Board Data Collection - From Data Acquisition To 100% Availability

Johannes Emmelheinz, CEO, Mobility Customer Services, Siemens Mobility

09:45    Facilitated Extended Q&A Session With Panel & Audience

CASE STUDY:

10:00    Experience The Power Of Data In Condition Based Maintenance And Telediagnostic

  • Selection and example use of on-board diagnostic systems
  • Analysis of data to detect hidden patterns to enable the enhancement of maintenance specifications
  • Translation of findings into recommended actions for maintenance

Thierry Fort, Rolling Stock Engineering Director,SNCF

10:20    Questions & Discussion

10:30    How Weather Matters For Digitalisation Of The Rail Industry

  • Learn how to use AI to integrate highly precise weather data into maintenance operations to drive efficiencies and increase safety

Stefan Eisenbach, Director Of Business Development, UBIMET (ATU.K.)

10:40    Morning Refreshments & Networking In The Exhibition Area Sponsored By UBIMET

Application Of Machine Learning & A.I Techniques Into Maintenance Practices

MACHINE LEARNING CASE STUDY: OVERCOMING COMMERCIAL BARRIERS

11:10    Applying Machine Learning & AI Techniques To Deliver 100% System Availability In Maintenance And Operations

  • Addressing the commercial barriers and key implementation "stumbling blocks" as to the application of machine learning techniques
  • Understand where operators could see the quickest cost savings and benefits to improving decision making processes
  • Gain insights on new techniques in machine learning, their potential to self repair and the impact on your future maintenance strategy
  • Understanding additional benefits including A.I. implementation to predict scheduling delays due to maintenance

Johannes Emmelheinz, CEO, Mobility Customer Services, Siemens Mobility

IMPLEMENTATION CASE STUDY

11:30    Making Use Of Data For Improved Decision Making

Javier de la Cruz Garcia Dihinx, Services & Analytics Engineering Head Manager, CAF S.A. Rail Services

11:50     Extended Audience Questions & Discussion

12:10    Dynamic, Networking Focused Lunch In The Exhibition Area

CASE STUDY: EMBRACING DIGITAL DIVERSITY

13:10     How Knorr-Bremse Are Embracing Experience From Their Truck Division And The Aerospace Industry To Benefit Rail

Ashraf Miah, Data Scientist, Knorr-Bremse Rail Systems UK

CASE STUDY: RETROFITTING TO INCREASE ONBOARD MONITORING

Cost Effective Strategies For Retrofitting Legacy Rolling Stock To Upgrade Onboard Monitoring & Data Collection

13:30     Cost Effectively Retrofitting Legacy Locomotives & Passenger Carriages With Onboard Data Collection Systems - Examining The Key Strategic Priorities & Technologies

  • Identifying what's possible when developing a strategy to retrofit aged rolling stock
  • Locomotives & Traction Power - Including technologies for monitoring battery and fluid levels
  • Passenger Carriages - Prioritising the onboard systems for digital monitoring
  • Wheels and bogies
  • How complicated, expensive or even feasible is to implement new sensors and monitoring retrospectively?

Kapil Jambhulkar, Sr.Coaching Depot Officer (Head of Rolling Stock Maintenance), Northeast Frontier Railway (Indian Railways)

13:50    Questions & Discussion

PANEL SESSION: ROAD MAP ON RETROFITTING

14:00    The Future Roadmap On Retrofitting Legacy Rolling Stock With Advanced Data Collection And Sensor Technologies - Demonstrating The Business Case And Technical Solutions Available For Different Onboard Systems  

Three panellists will each deliver a ten-minute presentation outlining the business case - however marginal - for implementing technical solutions to improve onboard fault prediction and monitoring. After each presentation, there will be an extended questions and answer session with the audience.

  • Demonstrating the benefits of retrofitting new data collection technologies to improve maintenance scheduling
  • Identifying the future roadmap and strategy on retrofitting aged rolling stock with onboard monitoring systems
  • Business case - Gaining senior management buy in on retrofitting strategy and what factors should that strategy look like?
  • Technology - Which sensors and data collection technology for which onboard system? 
  • Strategies for dealing with possible obsolesce of sensors and data collection systems

Paolo Masini, Head Of Rolling Stock Technology & System Engineering, Trenitalia S.p.A.

Kapil Jambhulkar, Sr.Coaching Depot Officer (Head of Rolling Stock Maintenance), Northeast Frontier Railway (Indian Railways)

Justin Southcombe, Commercial Director, Perpetuum

Sandis Austrums, Head Of Rolling Stock Service Department, Pasažieru vilciens

14:50    Followed By Extended Q&A Session With Panel & Audience

TECHNOLOGY SELECTION FOR MIDLIFE RETROFITTING

Retrofitting Existing Locomotives, Carriages, Wheels & Bogie Systems With Data Collection, Automation & A.I. Technologies

15:10    Examining New Technologies & System Architectures For Retrofitting Onboard Monitoring Of Traction Power, Wheelsets, Axels and Bogies

Retrofitting Existing Locomotives, Carriages, Wheels & Bogie Systems With Data Collection, Automation & A.I. Technologies

  • Strategies for integrating a large number of suppliers and technology generations
  • Technology selection Examining the strategies driving technology selection including
  • Sensors and data collection 
  • Access points for data including the communication network
  • Back-end technologies including databases, big data platforms and IOT
  • Examine the business case, technical roadmap and possible system architectures for retrofitting onboard monitoring systems including
  • Axels
  • Traction power system
  • In cab systems
  • Bogies
  • Wheelsets

Paolo Masini, Head Of Rolling Stock Technology & System Engineering, Trenitalia S.p.A.

15:30    Questions & Discussion

15:40    Track IQ, The Art Of The Possible

Track IQ have been operating in Europe for over 12 years. During this short presentation, Track IQ, will introduce the product portfolio and give a brief summary of the progress thus far in Europe and the key successes along the way

Nicholas Kay, Operations Director, Track IQ

15:50    Dynamic Networking & Refreshments In The Exhibition Area Sponsored By Track IQ

RETROFITTING LEGACY PASSENGER CARRIAGES WITH ONBOARD SYSTEMS

16:20    Prioritising Onboard System Upgrades For Retrofitting Passenger Carriages With New Data Collection & Sensor Technologies - Demonstrating What's Possible And What Technical Solutions Are Out There?

*    Strategies for integrating a large number of suppliers to upgrade onboard systems

*    Examine the business case, technical roadmap and possible system architectures for retrofitting onboard monitoring systems including

  • Door systems
  • Heating and ventilation systems
  • Air conditioning systems
  • Toilets
  • Travel and information systems

Technology selection - examining the strategies driving technology selection including

  • Sensors and data collection
  • Access points for data including the communication network
  • Backend technologies including databases, big data platforms and IOT

Rashed Alharbi, Passenger Rolling Stock Maintenance Manager of the North South Network, Saudi Railway Company

MANAGING END OF LIFE FLEET MAINTENANCE, CONTRACTUAL & SUPPLIER RELATIONSHIP

16:40    End Of Life Fleet & Depot Maintenance

  • Managing the fleet maintenance, safety and reliability to end of life
  • End of life depot - managing the depot & workforce 
  • Fleet disposal - how do you get rid of a fleet of trains
  • Transitioning from in house maintenance to outsourced contract management

Stephen Head, Head of Fleet Engineering, Heathrow Express

Aoife Considine, Fleet Engineering Manager & HEx Wellbeing Rep, Heathrow Express

COST EFFECTIVE INTEGRATION OF IT SYSTEMS AND DATABASES

17:00  Cost Effectively Set Up Integrated Back End IT & Database Systems For Predictive Maintenance - Gaining Access To Separate Legacy Systems Containing Diverse Data Sets Including GPS, Rolling Stock, Scheduling & Maintenance Information

  • Identifying and selecting the optimal back end IT & Database systems for predictive maintenance - what operational and commercial factors should you consider?
  • Learn best practices for extracting and integrating data from old legacy IT systems with your new systems to deliver more accurate scheduling data for maintenance activities

Gerald Schinagl, Digital Innovation Manager, OBB Austria

17:20    Extended Questions & Discussion

17:40    Chair's Closing Remarks And Close Of Conference Day One

Stephen Head, Head of Fleet Engineering, Heathrow Express

17:50    Digital maintenance - A Global, Growing Catalyst

Robert Mulder, Global Sales Director, Perpetuum

18:00 - 19:00    Evening Networking Drinks In The Exhibition Area Sponsored By Perpetuum

RSM17 Group Discount

AGENDA AT A GLANCE

Day One

  • Operators case studies on realising the benefits of on-board data to deliver improved maintenance and operational outcomes
  • Examine the business case for implementing artificial intelligence predict faults & improve on-board system reliability
  • Evaluate the future roadmap on retrofitting legacy rolling stock for advanced strategies on retrofitting ageing rolling stock
  • Cost effective integration of IT Systems and databases including identifying and selecting the optimal back end IT & Database

Day Two

  • Strategies on up-skilling fleet maintenance workforce to deliver on investment in new data-driven technologies
  • Managing human factor in the depot and minimise incidents of maintenance and prevent costly errors
  • Examine solutions for addressing obsolescence to efficiently service component and deliver spare parts on time
  • Best practice on planning & optimising the depot and maintenance activities, including integration of new technologies and maintenance practice innovations

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