Vehicle maintenance with big data and predictive maintenance

SKU: IN24-9648 Categories: , ,

Manual and visual inspection of rolling stock based on defined intervals and checklists – a time-consuming and therefore costly procedure that ensures the smooth running of operations and the safety of employees and passengers. Predictive maintenance promises to simplify and streamline these processes. So far, the hurdles for predictive maintenance have been great – sensor technology, big and smart data, computing capacity and artificial intelligence are needed to truly anticipate the occurrence of maintenance events. However, researchers from science and industry are working tirelessly to realise this.

 

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Description

In recent years, the demands on the railway system have increased, as has the need for maintenance and servicing: increased capacity in rail transport, a resulting higher load on the infrastructure, more vehicles in use and increasingly complex systems have intensified the need for maintenance.

This is where predictive maintenance comes in and promises to use collected data to predict when machines or individual components will break down and initiate predictive maintenance measures to prevent unplanned downtime or failures due to defects. This could make the maintenance and servicing process more efficient – an attractive approach, especially given the current shortage of skilled labour.

Additional information

Language

english, german

Publisher

ASTRAN Business Consulting GmbH

Release date

2024

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