Device and method for identifying wear of an electromechanical device
AssigneePhoenix Contact GmbH & Co. KG
InventorsElmar Schaper, Peter Scholz, Fabian Winkel
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Abstract
The present invention relates to a device for identifying wear of an electromechanical device, the device comprising: a measuring device, which is configured to detect at least one predetermined operating parameter of the electromechanical device; and an evaluation device, which is configured to determine a current operating state of the electromechanical device from the detected predetermined operating parameter of the electromechanical device by means of machine learning with the aid of mass data, preferably in the form of training data.
Claims19
A device for identifying wear of an electromechanical device, the device comprising:
- a measuring device which is configured to detect at least one predetermined operating parameter of the electromechanical device;
- and
- an evaluation device, which is configured to determine a current operating state of the electromechanical device from the detected predetermined operating parameter of the electromechanical device on the basis of machine learning with the aid of mass data;
- wherein the evaluation device is configured to determine the current operating state from the detected predetermined operating parameter assuming a multimodal failure distribution, and
- wherein the multimodal failure distribution comprises a temporal distribution of defects over a nominal lifetime of the electromechanical device.
A method for identifying wear of an electromechanical device, the method comprising the following method steps:
- detecting at least one predetermined operating parameter of the electromechanical device by means of a measuring device;
- and
- determining a current operating state of the electromechanical device by means of machine learning with the aid of mass data from the detected predetermined operating parameter of the electromechanical device by means of an evaluation device;
- wherein the current operating state is determined from the detected predetermined operating parameter assuming a multimodal failure distribution, and
- wherein the multimodal failure distribution comprises a temporal distribution of defects over a nominal lifetime of the electromechanical device.
Dependencies are inferred from the claim text.