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Predictive maintenance increases availability

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    05. May 2026, 00:00 o'Clock

    Article: Predictive maintenance increases availability

    Optimising maintenance, reducing costs and sustainably increasing fleet efficiency through automation.  

    Predictive maintenance at DB Cargo

    DB Cargo relies on predictive maintenance to enable the maximum availability of its locomotive fleet. Data analyses and intelligent algorithms are used to continuously monitor the condition of defined components. Maintenance requirements are recognised at an early stage and integrated into workshop planning in a targeted manner. This increases efficiency, reduces costs and strengthens the sustainability of the fleet.

    Innovation for maintenance in Europe

    Technology and innovation make it possible to carry out maintenance measures precisely when they are actually required.  DB Cargo relies on the centralised web application "SherLok", in which all relevant data from the entire locomotive fleet is bundled:

    • Vehicle status data such as engine power, temperatures, consumption and diagnostic messages
    • Location information and route histories of the locomotives
    • Workshop data including current and planned maintenance measures

    "SherLok" also enables real-time remote diagnostics. Specialist expertise can be integrated across all locations - for fast, well-founded decisions and efficient operational support.

    Copyright: DB Cargo AG

    SherLOK - Diagnostics at a glance

    The SherLok application enables vehicle diagnostics at a glance. Error messages and status information are displayed in this view.
    SherLOK - Diagnostics at a glance

     

    Copyright: DB Cargo AG

    SherLOK - Engine data

    The SherLok application makes it possible to view vehicle data during operation. Here, engine faults are displayed during the journey. The advantage is that these can be recognised more clearly under load, whereas they are difficult to readjust in the workshop. This enables colleagues to carry out a more comprehensive diagnosis.
    SherLOK - Engine data

    Automation in maintenance

    Automated condition monitoring analyses data for numerous use cases based on algorithms. If a need for action is recognised, the necessary maintenance measures are triggered directly in the system. Work orders are created fully automatically without any loss of time.

    Optimum preparation of maintenance measures

    Thanks to "SherLok", workshops and mobile teams are fully informed even before a locomotive arrives. Necessary work can be planned in advance and materials can be provided in good time. This speeds up processes and significantly reduces downtimes.This is supplemented by functions such as real-time geolocation and comprehensive diagnostics: components are not only checked when the locomotive is at a standstill, but also during operation and even under full load on the track. This makes maintenance even more precise and efficient.

     

     

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