Rolling Stock 4.0 Webinar Series

Optimising Rolling Stock Asset Management With Advanced IoT And Predictive Maintenance

The industries pioneering webinar series is back, this September addressing critical issues and technologies that are shaping the future of digitalized maintenance.

  • Digitalisation and Smart Maintenance: The disruptive business model for digital railways
  • Condition Based Maintenance + Remote Condition Monitoring
  • Effectively deploying IoT data for Predictive Maintenance
  • How IoT technology will bring advancements in data collection and analysis
  • Optimising maintenance and operation planning through enhanced asset management
  • Harvesting big data to reduce operational cost & increase profitability
  • Digitalisation and Smart Maintenance: The disruptive business model for digital railways
  • Condition Based Maintenance + Remote Condition Monitoring
  • Effectively deploying IoT data for Predictive Maintenance
  • How IoT technology will bring advancements in data collection and analysis
  • Optimising maintenance and operation planning through enhanced asset management

TechTalks: Rolling Stock 4.0 Predictive Maintenance & IoT Digitalization 2021

Featured Webinar

Wheelset Management Using Accurate Realtime Information – More Life for Less Work!

WEDS-20-OCT

13:00 CET | OnDemand

Hugh Wheelwright, Senior Data Science Engineer, Perpetuum

Mark Johnson, Engineering Technology and Contracts Director, Southeastern Railway

Speaker Bios | Company Profile

Rolling Stock 4.0 Webinar Series 2020

Latest Rolling Stock & Track & Infrastructure Webinar Sessions

How Wayside Is Being Used: Case Study By VLI S.A. Of Bogie Condition Monitoring

OnDemand

  • Considering bogie condition monitoring, primarily bogie geometry and lateral running position of wheelsets
  • Considering how data inter-relates from different wayside monitoring systems
  • How the data translates to damage to wheelsets and bogie components
  • How leading indicators and alarm levels are both used
  • How VLI are integrating wayside data into maintenance decision making. This considers short, medium, and long-term

Paul Bladon, VP International Business, Wayside Inspection Devices

Speaker Bio | Company Profile

Prescriptive Analytics & Industrial AI In Railways: A Maintenance As A Service Approach

OnDemand

  • Prescriptive maintenance to increase asset availability with more advance warning of equipment failures and more opportunity to mitigate the negative impact of those events.
  • Operations planning and scheduling have become more sophisticated, and maintenance processes have evolved and improved turning into more complex processes. Learn how to confront failures that cannot necessarily be correlated to what and how maintenance was performed.
  • Increase the efficiency of the railway asset management process through the combination of data-driven models and decision support systems, paving the road towards an Intelligent Asset Management System.
  • Railways operate in diverse conditions. Learn how context-aware systems powered by prescriptive analytics represent contextual data which influences the predictive models to deliver predictions and prescriptions ad hoc.

Dr. Diego Galar, Professor of Condition Monitoring, Luleå University of Technology

Speaker Bio | Company Profile

The Key Cost-Effective Maintenance Initiatives That Deliver Value For Money & Extended Asset Life

OnDemand

  • How to leverage your project data and use predictive analytics to make smarter decisions, reduce risks and also finish on time and budget
  • How to ensure successful transformation of maintenance regimes through collaboration
  • Turning data into insight, making digital decisions with real-world benefits

Sam Bussey, Sales and Business Development Manager for Instrumentel (part of Unipart Rail)

Speaker Bio | Company Profile

Is Your Workshop Already Digital? How To Make The Most Of Integrated Rolling Stock Maintenance

OnDemand

  • Make daily work easier for workshop staff with apps and checklists
  • Reduce communication effort through automatic data flow along the entire process
  • Benefit from automatic measurement data integration through interfaces
  • Automatically ensure audit-proof documentation according to current standards
  • Plan resources efficiently and easily (even in the long-term)
  • Forecast wheelset wear, investment needs and staff capacity for the best possible use of resources
  • Obtain key figures at the push of a button for well-founded management decisions
  • Increase the availability and reliability of your vehicle fleet

Christian Krauss, International Sales Manager, ZEDAS GmbH

Speaker Bio | Company Profile

DARKTRACE

Self-Learning AI For Unified Protection Of IT & OT In Rail Systems

OnDemand

Rail systems play a critical role in human transportation and the supply chain. With cyber-attacks recently halting trains in Tehran, threats against rail remain a pressing concern.
Railway systems involve a high degree of integration between IT and OT, such that cyber security solutions need to provide a unified defense across both areas, highlighting points of convergence. And as rail systems become increasingly digitized, the attack surface increases. Considerable efforts need to be in place to make sure cyber security matches the high safety standards of the rail industry.
Self-Learning AI has changed the paradigm of cyber defense. Without relying on Threat Intelligence or historical attack data, the technology understands its digital surroundings – across IT and OT – detecting subtle deviations indicative of a cyber-threat. Join us to learn how Darktrace protects some of the world’s largest transit authorities and critical rail systems.

Chris Thomas, VP, Industrial, Darktrace

Speaker Bio | Company Profile

How Can The Latest Innovations Drive The Reduction Of Rolling Stock Maintenance Costs

OnDemand

  • Identifying the major current challenges in rolling stock maintenance and potential solutions
  • Deciphering real time information and successfully utilising that data: Identifying and extracting meaningful data, unknown information, reducing cost and increasing availability
  • How can a Railway Authority remove the risks of digital transformation and guarantee successful predictive maintenance?
  • How to qualify the economic balance, cost vs benefits
  • How can your business model be improved by solving your unknowns?
  • What were the main results obtained in less than 6 months

Dr. Sabih Gatea Khisaf, Infrastructure Lead Engineer MENA Region, Hyperloop Transportation Technologies Inc

Speaker Bio | Company Profile

The Critical Dos And Don’ts In A High Quality Data Driven Transformation In Rail: Case Study Rotterdam Metros & Trams; Digitalisation & IoT Journey

OnDemand

  • How to execute strategy into reality? A real life example.
  • The rail maintenance transformation. Journey – How IoT and predictive maintenance can reduce the cost and increase quality along the entire life cycle of a railway vehicle.
  • What proven methodology was used?
  • Which initiatives were done first, and why?
  • What were the main gaps covered?
  • How does a real data governance process look like?
  • How to define and implement a tailor-made business case framework and action plan??
  • What were the main results obtained in less than 6 months

Alvaro Zevallos, Co-Founder and Digitalization Leader, Digitalentu

Speaker Bio | Company Profile

Ben Pilgram, Asset Manager R.E.T – Rotterdam Metro & Trams

Speaker Bio | Company Profile

Rolling Stock 4.0 Webinar Series 2020

Some Of Our Previous Rolling Stock & Track & Infrastructure Webinar Sessions

Rolling Stock Maintenance: Identifying The Key Steps For CBM Implementation

How On-board IoT Solutions Can Improve ROI & Safety Of Rolling Stock

Depot Planning & Refurbishment To Incorporate New Technology – Real-Time Robotized Maintenance of Wheelsets

Convergence Of AI, 5G AND LiDAR For Digital Twins In Rail

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

Reducing Maintenance Cost & Failures With Successful Predictive Maintenance

Monitoring Of Driveline Components & Inboard Bearings With RailBAM-IB

How Wayside Condition Monitoring Is Becoming More Intelligent

Diagnostic & Monitoring Technologies For Rail Infrastructure

Big Data Strategy For Track & Asset Maintenance

We Won The Finnish Commuter Rail Tender: How Did We Do It? Key Factors For Winning The Helsinki Regional Transport Tender: What Issues Need To Be Taken Into Account As A Fleet Maintainer

Digital Maintenance As A Game Changer – Is There a Future For Data-Driven Maintenance?

Digital Future Of Infrastructure Maintenance – Pros & Cons Of Different Solutions

Adopting Model-Based Systems Engineering For Rolling Stock Development

Passenger Experience Design

The TBOGI-TR System: Transit & Metro

CAF Digital Depot

Tyre Exchange Station Of Tyred Wheel Mounted On An Inboard Bearings Passenger Car Bogie

VORTEX IOT Explaining Rodio

Diagnostic & Monitoring Technologies For Infrastructure Image Video

The Critical Dos and Don’ts In A High Quality Data Driven Transformation In Rail: Real Life Case Study: Rotterdam Metros & Trams’ Digitalisation & IoT Journey