A computer-implemented method for training a machine learning model to detect installation errors in an elevator, in particular an elevator door. The machine learning model being a combination of a Set Function model and a Fourier-Transform model. The method including arranging a plurality of sensors at the elevator and each sensor being configured to detect a physical parameter. The method also includes detecting values of the physical parameters by the sensors so as to obtain a dataset comprising at least one time series and obtaining a first input layer by extracting features from the dataset. The method also includes obtaining a second input layer by extracting features from the dataset, feeding the Set Function model with the first input layer, and feeding the Fourier-Transform model with the second input layer.


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    Title :

    A COMPUTER-IMPLEMENTED METHOD FOR TRAINING A MACHINE LEARNING MODEL TO DETECT INSTALLATION ERRORS IN AN ELEVATOR, IN PARTICULAR AN ELEVATOR DOOR, A COMPUTER-IMPLEMENTED METHOD FOR CLASSIFYING INSTALLATION ERRORS AND A SYSTEM THEREOF


    Contributors:

    Publication date :

    2025-01-02


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen