Patent ID: 11940357
Assignee: GF MACHINING SOLUTIONS SA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A method for predicting anomalies of machining, including anomalies causing a defect on a part machined by a machine tool, the method comprising:
acquiring raw data by a signal processing unit, the raw data including sensor data and machining parameters from a machine tool and processing the raw data to neuromorphic-circuit input data including features extracted by the signal processing unit from the raw data;
determining anomaly data related to defects on the part, which is being machined by the machine tool, and/or the defects of the machine tool during operation by a neuro-morphic circuit connected to the signal-processing unit and is configured to build a neural network on an integrated circuit, wherein the neural network is trained by the training data including a plurality of data sets with a plurality of features and a corresponding anomaly, wherein the neural network is configured to determine anomaly data describing anomalies of the machining in response to the neuromorphic-circuit input data, in particular features; and
sending the determined anomaly data by the signal-processing circuit to a controller and determining by the controller at least one action, which can be taken to avoid 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.