Embodiments of the present disclosure are directed to a computing device comprising processors configured to receive training data comprising elevator data associated with a plurality of elevator assemblies indicating a series of actions performed by an elevator car, receive alert data associated with the elevator assemblies indicating alerts generated by sensors, determine health scores for the elevator assemblies based on the alert data, label the training data based on the health scores to generate first labeled training data, train a first machine learning model, using the first labeled training data and supervised learning techniques, to predict a health score for an elevator based on input elevator data, receive first elevator data associated with a first elevator, input the first elevator data into the trained first machine learning model, and determine a health score associated with the first elevator based on an output of the first machine learning model.


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    Title :

    PREDICTIVE MAINTENANCE ADVISORY FOR ELEVATORS


    Additional title:

    PRÄDIKTIVE WARTUNGSANWEISUNG FÜR AUFZÜGE
    CONSULTATION DE MAINTENANCE PRÉDICTIVE POUR ASCENSEURS


    Contributors:

    Publication date :

    2025-08-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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