Siemens Aktiengesellschaft

Timo Rieskamp

Thomas Decker

Martin Brückel

Michael Lebacher

Sibel Senturk

A fault detection apparatus and computer-implemented method for providing physically explainable fault information of a bearing built in a machine by a fault detection model is provided, including: obtaining sensor data measured at the bearing as input data relating to an input data domain and the fault detection model, mapping the measured sensor data from the input data domain to a selected data domain resulting in an augmented fault detection model which outputs augmented predicted failure value related to the selected data domain, wherein the selected data domain has a physical meaning to the fault of the bearing, performing a feature attribution on the augmented fault detection model quantifying an importance of at least one individual feature to the augmented failure value related to the selected data domain, and displaying the individual feature and the respective quantified importance in the selected data domain at a user interface.

Method for providing a physically explainable fault information of a bearing by a fault detection model

A computer-implemented method for detecting mechanical damage to a machine based on a performance indicator present at a rotation speed of the machine is provided, including the steps of: receiving a number of calibration data points during a calibration period, each comprising the rotation speed of the machine and a performance characteristic value associated with the rotation speed, calibrating an AI-based Gaussian process regressor, by inputting the calibration data points received during the calibration period and outputting an estimated performance curve and an uncertainty range assigned to each value of the performance curve for all rotation speed values, receiving a data point to be evaluated, and comparing the data point to be evaluated with the estimated performance curve, and outputting an anomaly message if the data point to be evaluated is outside a specified limit value, which is dependent on the uncertainty range of the performance characteristic value.

Growing community of inventors

Munich, Germany

Timo Rieskamp