Railway interlocking systems take the role of managing train traffic by locking routes and are responsible for light signalling and switch positioning. Their correct operation is highly relevant for safety as they prevent trains from taking conflicting paths which could lead to severe accidents. In addition, as interlocking systems organise traffic at infrastructure nodes, their failure can have considerable negative impact on train delays and profitability.

    Electronic interlocking systems in Germany are isolated electrical systems. Insulation faults can cause safety-critical unintended interlocking behaviour and are responsible for a significant amount of interlocking-related delay minutes. The goal of the present research is to prevent system failures by early detecting abnormal behaviour of the insulation resistance and by localising elements related to incipient insulation faults.

    In Germany specific measurement devices continuously observe the insulation resistance of the entire electrical interlocking system. If the observed insulation resistance drops below a defined threshold an alarm is raised. As part of a research project and proof-of-concept, the monitoring device of the electronic interlocking at Plattling, Bavaria, has been equipped with an additional data logger to record the observed insulation resistance for a period of 18 months. Furthermore, status messages of the interlocking control system are available for a period of 20 days. Observed systematic influences on the insulation resistance such as weather conditions and interlocking operations are presented. Time-series modelling of insulation resistance as well as classification with regard to normal/abnormal behaviour based on weather condition and railway control notifications, respectively, give promising results.


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    Title :

    Analysis of Systematic Influences on the Insulation Resistance of Electronic Railway Interlocking Systems


    Additional title:

    Lect.Notes Mechanical Engineering


    Contributors:

    Conference:

    International Congress and Workshop on Industrial AI ; 2021 ; Luleå, Sweden October 05, 2021 - October 07, 2021



    Publication date :

    2022-02-07


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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