FREE TO ATTEND CONTENT LEAD ROLLING STOCK MAINTENANCE WEBINARS

All of our webinars are free to attend, presented live and are interactive. All you need to do is register for the relevant sessions individually, with your corporate email address. Sorry, no personal email addresses will be approved.  If you can not make a session at the scheduled time, register anyway and we’ll send you a link to access on-demand!

MONDAY 21st September 2020

11:00am GMT (UK) | REGISTER | 11:00am ET (USA) | REGISTER

Opportunities & Challenges Of New Rolling Stock Maintenance Technologies

  • Optimising Rolling Stock Asset Management With Advanced Predictive Maintenance Solutions, Data Set Analysis, IoT & Industry 4.0
  • How To Collect And Maximise Value From Massive Data Sets From Every Aspect Of Your Operation To Reduce Cost, Minimise Downtime, Increase Capacity and Improve Services
  • Digitalisation and Smart Maintenance: The disruptive business model for digital railways
  • How IoT technology will bring advancements in data collection and analysis

MONDAY 21st September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

How Can IoT And BIG DATA Transform Rail & Rolling Stock Maintenance

  • Exploring the potentials of Digitalisation to enhance your operations and cost efficiencies

TUESDAY 22nd September 2020

11:00am GMT (UK) | REGISTER | 11:00am ET (USA) | REGISTER

Depot Planning And Refurbishment To Incorporate New Technology – Including Robotics, Condition Monitoring, Scanning Systems & Automation

University-of-Firenze

Prof. Dr. Andrea Bracciali, University of Firenze, Italy

Dr. Gianluca Megna, University of Firenze, Italy

  • Best practices for optimising and planning depot maintenance activities
  • Optimally configuring new technologies
  • Training the workforce to handle new technologies

TUESDAY 22nd September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

Strategic Planning For Retrofitting On Board Data Collection Systems

CALL FOR SPEAKER

  • Extending the life and cost efficiency of ageing rolling stock – development of a technical retrofitting strategy
  • Business case and budgeting for retro-fitting
  • Examining the technologies, sensors and devises to be used on rolling stock itself, the technology systems, databases and IoT
  • Identifying what is possible when developing a strategy to retrofit ageing rolling stock, cost and feasibility

WEDNESDAY 23rd September 2020

11:00am GMT (UK) | REGISTER | 11:00am ET (USA) | REGISTER

Rail Digital Twins For Rolling Stock Maintenance Analytics: An Industrial AI approach

Dr. Diego Galar , Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering, LTU, Luleå University

  • Information extraction to assess the overall condition of the whole system. Integrating asset information during the entire lifecycle. Gaining accurate health assessment of the whole system.
  • Augmenting datasets before training data-driven algorithms. For this purpose Data covering a wider range of scenarios can be obtained by synthetic data generated by physics-based models. These models need to be realistic and provide meaningful and comparable information about the behaviour of the system under observation.
  • Learn how industrial AI can help the use/owner/maintainer/designer to perform a virtual commissioning of the asset where it is digitized and virtualized and produce a digital twin containing both data driven and physical information.

WEDNESDAY 23rd September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

Upgrading Asset Management Systems, Reporting & Analytics To Improve Data Monitoring Efficiencies

CALL FOR SPEAKER

  • How to identify opportunities to upgrade asset management systems and monitoring systems on legacy trains to improve on reliability and reduce maintenance incidents.
  • Examining the business case for making the investment in upgrading.
  • Understanding the life cycle cost and potential maintenance savings for the entire life of the train

THURSDAY 24th September 2020

11:00pm GMT (UK) | REGISTER | 11:00pm ET (USA) | REGISTER

Customization And Integration of Wayside Technologies and On Board Condition Monitoring Technologies

CALL FOR SPEAKER

  • The current and future state of wayside diagnostic monitoring as a tool for condition based maintenance
  • Designed to measure and monitor the condition performance of rail car components
  • Automated analysis of component condition data identifying faults before failures occur
  • European customer case study demonstrating the benefits and future of this technology

THURSDAY 24th September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

From Real Time Asset Monitoring Towards Dynamic Maintenance And Operations

CALL FOR SPEAKER

  • Mastering Condition-Based Maintenance and PHM (Prognostics & Health Management)
  • Turning data into actions to improve the efficiency of operations and maintenance execution
  • Innovative Dynamic Maintenance Planning programme

FRIDAY 25th September 2020

11:00am GMT (UK) | REGISTER | 11:00am ET (USA) | REGISTER

Quantitative Data And Machine Learning Enable A Quantum Leap In Real-Time-Train Positioning:The Next Evolution Of Distributed Wayside Sensing

CALL FOR SPEAKER

  • Quantitative DAS is the next evolution of distributed wayside sensing
  • In combination with machine learning, this technology provides more accurate information
  • Real-Time train localisation, detailed information on train length and train integrity will enable new and efficient approaches for future proof train operation

FRIDAY 25th September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

Wheel Set Lifecycle Monitoring

CALL FOR SPEAKER

  • The current and future state of wayside diagnostic monitoring as a tool for condition based maintenance
  • Designed to measure and monitor the condition performance of rail car components
  • Automated analysis of component condition data identifying faults before failures occur
  • European customer case study demonstrating the benefits and future of this technology

MONDAY 28th September 2020

11:00am GMT (UK) | REGISTER | 11:00am ET (USA) | REGISTER

On-Board IoT Solutions Applied For Reliable Maintenance Extension Of Safety Critical Railway Wheel-Set

CALL FOR SPEAKER

  • Bogies maintenance encounters high percentage of the train lifecycle cost and wheel life has been considerably extended during recent years
  • Wheel-set bearings are safety critical components with fixed maintenance intervals, are becoming the limiting factor for wheel-set bogie overhaul maintenance extension

MONDAY 28th September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

Overcoming The Challenges of Supporting A Network-Wide Program When Digitalising Your Operations

CALL FOR SPEAKER

  • Recognising The Technical Barriers That Effect Progression During The Lengthy Public Tendering Process
  • Proof of Practice – Highlighting Several National Developments In Rail
  • Compare Lessons Learnt

TUESDAY 29th September 2020

11:00am GMT (UK) | REGISTER | 11:00am ET (USA) | REGISTER

Processing Big Data For Maintenance – What New Technologies Can Be Applied To Rolling Stock In A Costs Effective Manner?

CALL FOR SPEAKER

  • How To Ensure You Are Getting Maximum Value For Your Data – Collection, Storage, Processing And Presentation
  • Capturing Data Systematically So It Can Be Compared Accurately With Previous And Future Data
  • Realising Value From Data From Outside Your System
  • Utilising Real Time Monitoring – Getting Data From The Source To Your Data Base, And Actually Using It
  • How Can You Crunch Data Into Useful Formats That Can Be Processed In A Meaningful And Easy To Understand Way
  • Analysing And Interpreting Data And Establishing Trends
  • Importance Of Data Quality And Data As An Asset

TUESDAY 29th September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

Big Data Strategy For Rolling Stock

CALL FOR SPEAKER

WEDNESDAY 30th September 2020

11:00pm GMT (UK) | REGISTER | 11:00pm ET (USA) | REGISTER

Interpreting Data To Deliver Actual Results On Reducing Maintenance Cost, Predicting Failure Condition & Optimizing The Reliability Of Onboard System Components

CALL FOR SPEAKER

WEDNESDAY 30th September 2020

14:00pm GMT (UK) | REGISTER | 14:00pm ET (USA) | REGISTER

Processing Big Data For Maintenance – What New Technologies Can Be Applied To Rolling Stock In A Costs Effective Manner?

CALL FOR SPEAKER