Passenger trains and freight trains often share the same tracks. If a breakdown occurs for one or the other, it affects the whole network. For freight trains this can lead to heavy economic losses.
For passenger trains, however, the damage is not always measurable. The stress of finding a solution early in the morning, trying to make up for the delais at all costs. Finally, the communication to be put in place for the public in order to warn them of the situation.
People at the heart of things, data everywhere
We are at a turning point for the rail industry. Existing technologies can reduce the number of occurrences of this kind of problem in a direct way. Indirectly, it also means less ‘hassle’ for users, customers and technicians.
As it turns out, the locomotive at the centre of this conundrum belongs to one of our customers. We had a sneak preview of exactly how the data was used to understand the problem.
The train consisted of 2 locomotives, a “multiple unit” (MU) in trade lingo. The potential root cause of malfunction is often that the “train is too heavy”. This hypothesis was quickly rejected by simple calculations.
Using their data and the Railgenius platform, our customer was able to trace the problem back to a broken relay in the multiple unit system of the leading locomotive. The data clearly showed that the trailing locomotive was not responding to commands.
Analyse the data to achieve zero defects
Thanks to the large volume of data available, our customer could successfully trace every major event that has an impact on reliability and punctuality. This is the zero defect strategy.
The objective is to eliminate repetitive failures and provide context to the maintenance organisation for effective fault resolution, if possible before a workshop visit is required. This is the remedy to the famous “no fault found”.
In this particular case, the analyses could be carried out quickly thanks to Railnova’s “Railgenius” software, with which the engineers and technicians have access to all the detailed data, in the context of the operation of the vehicles.
Once the source of the problem has been identified, they create an equation that will trigger an alarm before the next occurrence of the same problem and thus ensure a faster resolution of the problem.