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.
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
COMPUTERIMPLEMENTIERTES VERFAHREN ZUM TRAINIEREN EINES MASCHINENLERNMODELLS ZUR ERKENNUNG VON INSTALLATIONSFEHLERN IN EINEM AUFZUG, INSBESONDERE AUFZUGSTÜR, COMPUTERIMPLEMENTIERTES VERFAHREN ZUR KLASSIFIZIERUNG VON INSTALLATIONSFEHLERN UND SYSTEM DAFÜR
PROCÉDÉ DE MIS EN OEUVRE PAR ORDINATEUR POUR ENTRAÎNER UN MODÈLE D'APPRENTISSAGE AUTOMATIQUE POUR DÉTECTER DES ERREURS D'INSTALLATION DANS UN ASCENSEUR, EN PARTICULIER UNE PORTE D'ASCENSEUR, PROCÉDÉ DE MIS EN OEUVRE PAR ORDINATEUR POUR CLASSIFIER DES ERREURS D'INSTALLATION ET SYSTÈME ASSOCIÉ
2024-02-07
Patent
Electronic Resource
English
IPC: | B66B Aufzüge , ELEVATORS |
DOOR SYSTEM OF ELEVATOR INSTALLATION AND ELEVATOR INSTALLATION
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