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Smart Fleet Maintenance 360 Summit 2023

Enhancing Fleet Reliability, Utilizing Digital Twin, AI, Machine Learning, IoT and Automation within the Rolling Stock Maintenance World to Deliver World Class Data Driven Operations in Rail

#SFM360

15-16 March 2023

Hybrid Event: In-Person, On-line & On-Demand

Agenda Day 2, Thursday 16th March

9:00 AM MAINTENANCE SCHEDULING/PLANNING - DEFECT MANAGEMENT, PLANNING THE CORRECT INTERVENTION IN REAL TIME, REPAIRING DEFECTS IN A PLANNED AND FORESEEN WAY

Rebuilding the Process of Maintenance, Optimising Maintenance Policies for Scheduled and Predictive Maintenance to Deliver a Mix of Maintenance Strategies

“Predictive maintenance will add complexity to the systems. Every time you have an intervention which is asked by predictive maintenance you add a variable to the scheduling process which is not covered at the time in the maintenance policies and almost not in the research today. We are researching scheduled maintenance optimization or predictive maintenance optimization, but not both together and both together is the right approach to do in the right way. It's also because most of the research is not specific to the railways, we import a lot of ideas from different research sectors, and we try to apply them inside the railway systems without thinking about if it's even good or not, if it's even possible or not, or if it's even smart, but I think the reality is that we have a lot to improve”

Data scientist, Railway Technology Consulting Company France

10:00 AM Using Data from Categorised Work Orders to Gain Insights and Direction on Decisions Made to Reduce Maintenance Scheduling

“We're using the data now to say, well actually looking look say in wheel wear rates you could say it won't actually fail the tolerance until seven weeks. So why don't you move it to five weeks? which then still gives you a little bit of comfort to say you've got a week there to still meet your standard and make sure you don't sort of fall off the edge there with the engineers and won't get the assurance. And that way, over a whole year, you might save one or two sorts of maintenance cycles. Of course, that then allows us to release people to look at something else and obviously in terms of funds, things are still a little bit tight. It doesn't cost us so much to implement and you're still meeting the standard. So that's where we're sort of starting use the data for better planning, and just sort of directing them giving them insight in the way their assets are misbehaving”

Asset Reliability Improvement Manager, Rapid Transit System Operator, UK

10:30 AM MORNING NETWORKING BREAK

11:00 AM Optimising the Relationship Between Fleet Management & Maintenance to Deliver the Optimal Resources Required for Each Maintenance Job

“In my opinion, the area we should put the most effort is in the in-house space between the fleet management and the maintenance to have scheduled maintenance slots for the fleet. We have time slots with people staffed with infrastructure and technology, we must find together the best way to fit each other and therefore we need some digital support. We must know what's wrong with the trains, what failures are on the train, so we can do the best preparation to bring the right materials to the train and to have the right people for maintenance activities”

Head of Maintenance, Regional and Commuter Train Operator, Germany

11:30 AM SENSOR NETWORK - CLOSING THE GAPS IN THE SENSOR INFRASTRUCTURE, OVERCOMING CHALLENGES IN COLLECTING, STORING AND ANALYSING SENSOR DATA

Financial Implications and Tangible Benefits of Implementing Sensor Devices to Collect Real Time Data of Critical On-Board systems

“So, one of the things that I really am keen to do, especially here is to convince management about the benefits of implementing sensors for rail maintenance data, having lots of instrumentation on the trains, and using the data that is generated to improve the maintenance. I will give you an example. You know Alstom, they have a product Siemens they have their own product to monitor their trains, and even other rolling stock manufacturer are now producing systems to monitor the trains, right, but when it comes to financial perspective, to understand how this solution is going to help my maintenance activity, to reduce my maintenance cost and the actual tangible benefit. This is still a challenge to do and especially here in Saudi Arabia, we have implemented these solutions, but still haven’t been able to quantify its benefit into the maintenance contract”

Planning and Technical Office Director - Passenger Business Unit, National Train Operator, Saudi Arabia

12:30 PM Promoting Open Standards, Implementing Device Management Solutions to Increase Data Productivity and Interoperability Between Different Systems

“That's just the thing is we're trying to set up the infrastructure so it's as general as possible. And then we're, then we're what we want to do on this, when we when we get into the I.T, we want to dump the data through MQTT, which is basically an internet standard. But the gateway and the sensors obviously need to be set up with each other. So, you need to have a device manager will be able to handle, you know, sensors from various vendors, because there's no one vendor has sensors all the different sensors you might need. So therefore, we must build an infrastructure that's able to cope with that and I see, that being the most difficult part, at least our IT department don't know much about these systems. Knowing how to do this would be nice to know”

Fleet Manager, Regional Train Operator Denmark

1:00 PM NETWORKING LUNCH BREAK

2:00 PM AI & IOT IN RAIL

The Application of Artificial Intelligence Within the Maintenance World

“I suppose it would have to be down the route of the application of artificial intelligence within the maintenance world because we're venturing down that road ourselves. We can't be the only ones and the only right people doing things in a certain way. So yeah, there's a lot of scope to learn various sort of topics in that realm”

Asset Reliability Improvement Manager, Rapid Transit System Operator, UK

3:00 PM CASE STUDY

How Are Operators Implementing New IoT cloud systems to Improve Data Management, Reducing Data Storage Cost and Increasing the volume of Data in Storage

“So, I think on that one, the quantity of data, which is huge, the storage space isn't too much. But I think it costs to do a capture and do a sort of a processing of all the data within the computing world and alright, the RCM data that goes across the TFL network shouldn't be as expensive but it's still got the oldest rolling stock, so you have to wait and actually download it off the machine. It's okay for the likes of the central line and the Victoria line and the Metropolitan District lines because they're transmitted using Wi-Fi as they pass all the certain beacons near the depots, but the other option is you've physically got to wait for someone to go get it off the train. Eventually, that will change but it's all in the timing. So, there are challenges there, I suppose of obsolescence and archaic time, sort of thoughts and processes on what was considered important in those days to the more modern one”

Asset Reliability Improvement Manager, Rapid Transit System Operator, UK

3:30 PM NETWORKING BREAK

4:00 PM Increasing Industry Collaboration, Sharing Knowledge to Improve the Adoption of Condition Based Maintenance, Analysing Past Failure Data and Classifying Assets

“Condition monitoring is not cheap. The capital cost is quite expensive, you cannot monitor everything, you cannot monitor all the critical systems yet and the important thing here for condition monitoring is you need data, you need time, somebody that investigates the normal working condition of the asset”

Assistant Vice President (Rolling Stock), Public Transport Operator Singapore

5:00 PM Introducing New Monitoring Technologies to Improve Reliability and Recoverability of Legacy Fleets During the Mid Life Refurbishment

“15 years ago, technology was very different from now, so we want to implement some new technology.
The other thing is reliability, we are looking at why some subsystems on the train are not so reliable, for example, we had a air condition system, we spent over a year trying to improve the machine component and buying new components and the new component also failed. So we thought it’s time to change to a different brand, maybe another model of air con is more reliable. So, now, you want to input reliability into the condition monitoring. So, to input reliability, we also need a lot of technology, you need a lot of data, introduce new sensors, new processor on the train, technology to transmit the data to the Operation Control Centre”

Assistant Vice President (Rolling Stock), Public Transport Operator Singapore

6:00 PM CLOSE OF CONFERENCE

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