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

Abstract

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.

CPC Classifications