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.
PREDICTIVE MAINTENANCE ADVISORY FOR ELEVATORS
PRÄDIKTIVE WARTUNGSANWEISUNG FÜR AUFZÜGE
CONSULTATION DE MAINTENANCE PRÉDICTIVE POUR ASCENSEURS
2025-08-13
Patent
Electronic Resource
English
IPC: | B66B Aufzüge , ELEVATORS |