Knorr-Bremse and Deutsche Bahn team up for train data analysis

Knorr-Bremse has signed a cooperation agreement with Deutsche Bahn on the use and analysis of train operating data and vehicle subsystem data. The agreement aims to use big data insights to improve condition-based maintenance of train fleets and has an initial term of three years.

The goal of the collaboration between operator Deutsche Bahn and braking systems manufacturer Knorr-Bremse is to reduce maintenance costs and enable data-based services. “In the context of the ongoing digitalisation of the rail sector, data-based products and services have huge potential to add value for customers and enable further operational optimisation of the overall rail system”, says Nicolas Lange, Chairman of the Management Board of Knorr-Bremse Rail Vehicle Systems.

Use of the data

Deutsche Bahn aims to use the data to increase vehicle availability and optimise its vehicle maintenance cost structures. Knorr-Bremse will use the data to improve their digital rail services such as condition monitoring of onboard vehicle systems, wear prediction, as well as the corresponding software support, for example for door controls. In order to deliver the desired maintenance improvements, the German companies will use existing vehicle and system data and collect additional data in the future.

One possible application are door controls on double-decker cars (2003). By analysing data from the door control, door failures can be prevented and maintenance further optimised.

Condition-based maintenance

The ultimate goal of the partnership is to make it possible to call rail vehicles into the workshop at the exact point in time when a system or component requires maintenance. The key to this is the condition-based maintenance system envisioned by the cooperation agreement, which will enable more targeted and needs-based maintenance cycle planning. It also has the potential to reduce the time that vehicles spend in the workshop.

“The agreement with Deutsche Bahn is an outstanding example of how smart vehicle and fleet data processing and the insights that it provides into the condition of onboard systems can be used to optimise maintenance intervals and costs,” adds Mark Cleobury, Management Board Member of Knorr-Bremse Rail Vehicle Systems.

Read also:

Condition-based maintenance is also one of the topics of the digital event RailTech Europe at 30 and 31 March and 1 April. Visit the event website for more information.

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Author: Esther Geerts


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