Patent classifications
G05B2219/37391
Analysis unit and method for determining at least one forming process characteristic of a servo press
An analysis unit and method for determining at least one forming process characteristic of a servo press includes the steps of determining a torque profile of a motor of the servo press, wherein the torque profile belongs to a first cycle of the servo press and wherein the first cycle describes a forming process without an item to be processed by the servo press, determining a torque profile of the motor of the servo press, wherein the torque profile belongs to a second cycle of the servo press and wherein the second cycle describes a forming process with an item to be processed by the servo press, and comparing the torque profile belonging to the first cycle with the torque profile belonging to the second cycle to ascertain the at least one forming process characteristic.
Analysis Unit and Method for Determining at Least One Forming Process Characteristic of a Servo Press
An analysis unit and method for determining at least one forming process characteristic of a servo press includes the steps of determining a torque profile of a motor of the servo press, wherein the torque profile belongs to a first cycle of the servo press and wherein the first cycle describes a forming process without an item to be processed by the servo press, determining a torque profile of the motor of the servo press, wherein the torque profile belongs to a second cycle of the servo press and wherein the second cycle describes a forming process with an item to be processed by the servo press, and comparing the torque profile belonging to the first cycle with the torque profile belonging to the second cycle to ascertain the at least one forming process characteristic.
Anomaly Detection for a Cutting Machine with an Electrically Driven Spindle
A method for anomaly detection in a cutting machine with a spindle that is driven by an electric motor, wherein the method includes determining an electric power consumption of the motor during a working cycle of the machine, dividing the working cycle into time windows, determining, for each time window, whether the spindle was cutting and/or idling based on associated electric power values, determining median and expected deviation of electric power values for cutting and idling operation over the sequence of time windows, and determining an anomaly if electric power values during cutting or idling exceed a predetermined relationship to the corresponding median and expected deviation values.