Method for providing a model for at least one machine, training system, method for simulating an operation of a machine, and simulation system

A method for training a model for an electric machine controlled by a control device, comprising:

• receiving a temporal series of measured values that describe an operating variable of the electric machine via a first interface of a training system,
• training, based on the received measured values, with a computing facility of the training system an untrained model embodied as an artificial neural network to produce a trained model, and
• determining with the trained model derived control variables that describe the control device,
• receiving via the first interface of the training system a temporal series of measured values of a further electric machine that is different from the electric machine and controlled by a further control device,
• further training the trained model with the computing facility using measured values of the further electric machine to produce a further trained model, and
• outputting the trained model and the further trained model via a second interface of the training system.

A method for simulating operation of a first electric machine and a second electric machine, wherein the operation of the first electric machine is controlled by a first control device and the operation of the second electric machine is controlled by a second control device, wherein a first trained model and a second trained model is trained in each case for the first electric machine and for the second electric machine by

• receiving a temporal series of measured values that describe an operating variable of the first electric machine via a first interface of a training system,
• training, based on the received measured values, with a computing facility of the training system an untrained model embodied as an artificial neural network to produce a first trained model which simulates the operation of the first electric machine, and
• determining with the first trained model derived control variables that describe the control device,
• receiving via the first interface of the training system a temporal series of measured values of a second electric machine that is different from the first electric machine and controlled by a second control device,
• further training the first trained model with the computing facility using measured values of the second electric machine to produce a second trained model which simulates the operation of the second electric machine, and
• outputting the first trained model and the second trained model via a second interface of the training system.