US 11,940,357 B2
System for predicting anomalies of machining
Bertrand Lavazais, Thoiry (FR); and Roberto Perez, Geneva (CH)
Assigned to GF Machining Solutions SA, (CH)
Filed by GF Machining Solutions SA, Meyrin (CH)
Filed on Aug. 10, 2021, as Appl. No. 17/398,130.
Claims priority of application No. 20190463 (EP), filed on Aug. 11, 2020.
Prior Publication US 2022/0050023 A1, Feb. 17, 2022
Int. Cl. G06F 11/30 (2006.01); G01M 99/00 (2011.01); G06N 3/04 (2023.01); G06N 5/022 (2023.01)
CPC G01M 99/005 (2013.01) [G06N 3/04 (2013.01); G06N 5/022 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A system for predicting anomalies of machining such as the anomalies causing a defect on a part machined by a machine tool, comprising:
a signal-processing unit configured to acquire raw data including sensor data and machining parameters from a machine tool and to process the raw data to neuromorphic-circuit input data including features extracted by the signal-processing unit from the raw data;
a neuromorphic circuit connected to the signal-processing unit configured to build a neural network on an integrated circuit, wherein the neural network is trained by training data and the trained neural network is configured to determine anomaly data describing anomalies of the machining in response to the neuromorphic-circuit input data, in particular to the features, wherein each training data set includes a plurality of features and a corresponding anomaly; and
a controller configured to receive the determined anomaly data from the signal-processing unit and to determine at least one action, which can be taken to overcome the determined anomalies, wherein the signal-processing unit is configured to select from the raw data a different combination of data required to determine the anomalies related to different types of machining.