Method and Apparatus for Operating a System for Detecting an Anomaly of an Electrical Energy Store for a Device by Means of Machine Learning Methods: abstract simplified (18190548)

• This abstract for appeared for patent application number 18190548 Titled 'Method and Apparatus for Operating a System for Detecting an Anomaly of an Electrical Energy Store for a Device by Means of Machine Learning Methods'

Simplified Explanation

This abstract describes a computer-based method for detecting anomalies in the behavior of an electrical energy store in a technical device. The method involves monitoring the profile of at least one operating variable of the energy store and extracting relevant features from this profile. An anomaly detection model, specifically an autoencoder, is then used to evaluate the features and generate a reconstructed input vector. Based on the difference between the reconstructed input vector and the original input vector, an error is signaled to indicate the presence of an anomaly.

Original Abstract Submitted

A computer-implemented method for determining an anomaly of a behavior of an electrical energy store in a technical device includes sensing an operating variable profile of at least one operating variable of the electrical energy store, and determining at least one feature from the sensed operating variable profile of the at least one operating variable of the electrical energy store. The method further includes evaluating an anomaly detection model using an autoencoder with a supplied input vector that includes or depends on the determined at least one feature, in order to determine a reconstructed input vector, and signaling an error based on a reconstruction error between the reconstructed input vector and the supplied input vector.