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US 12,216,972 B2Granted
Method for obtaining a temporal model of a magnetic bearing, device for modelling the magnetic bearing and associated systems
AssigneeSkf Magnetic Mechatronics
InventorsFrancois Caire, Lakdar Sadi-Haddad
Life of this patent
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Abstract
The method for obtaining a temporal model of a magnetic bearing provides the generation of reference data representative of characteristics of the bearing. The method includes the production of the temporal model of the magnetic bearing from the reference data having temporal data.
Claims5
A method for obtaining a temporal model of a magnetic bearing comprising:
- providing a magnetic bearing modelling device, the magnetic bearing modelling device having a at least one processing unit,
- providing the magnetic bearing, the first processing unit being configured to receive reference data from the magnetic bearing,
- generating the reference data representative of characteristics of the magnetic bearing created by operation of the magnetic bearing, and
- producing, by the at the least one processing unit, the temporal model of the magnetic bearing from the reference data comprising temporal data, wherein the reference data comprise learning data and validation data, the learning data comprising at least one input reference data set and at least one output reference data set, and the validation data comprising a first validation data set comprising a first input validation data set and a first output validation data set, and
- wherein the method further comprises generation of learning data by the at least one processor comprising:
- a) generating a first transient temporal data set of wave forms and of random amplitudes,
- b) determining the input reference data set from the first transient temporal data set of wave forms and of random amplitudes,
- c) injecting the input reference data set into a nonlinear model of the magnetic bearing or in the magnetic bearing,
- d) collecting the output reference data set, the output reference data resulting from exciting the nonlinear model of the magnetic bearing or of the magnetic bearing by the input reference data set, and
- e) saving the input reference data set and of the associated output reference data set, and
- generating the first validation data set comprising:
- f) generating a second transient temporal data set of wave forms and of random amplitudes different from the first transient temporal data set,
- g) determining the first input validation data set from the second transient temporal data set of wave forms and of random amplitudes,
- h) injecting the first input validation data set into the nonlinear model of the magnetic bearing or into the magnetic bearing,
- i) collecting the first output validation data set, the first output validation data set resulting from the excitation of the nonlinear model of the magnetic bearing or of the magnetic bearing by the first input validation data set, and
- j) saving the first input validation data set and of the associated first output validation data set.
13 more elements
A method for obtaining a temporal model of a magnetic bearing comprising:
- providing a magnetic bearing modelling device, the magnetic bearing modelling device having a at least one processing unit,
- providing the magnetic bearing, the first processing unit being configured to receive reference data from the magnetic bearing,
- generating the reference data representative of characteristics of the magnetic bearing created by operation of the magnetic bearing, and
- producing, by the at the least one processing unit, the temporal model of the magnetic bearing from the reference data comprising temporal data,
- wherein the production of the temporal model comprises a learning step comprising implementation of an automatic learning algorithm with the learning data,
- wherein the production of the temporal model further comprises a first validation step in which the temporal model generates a second output validation data set associated with the first input validation data set,
- wherein if the absolute value of a difference of the first output validation data set and second output validation data set is less than or equal to a confidence probability, the validation data comprise a second validation data set comprising a second input validation data set and a third output validation data set, generating the second validation data set comprising:
- k) generating a third transient temporal data set of wave forms and of random amplitudes, the third temporal data set being different from the first and second temporal data sets,
- l) determining the second input validation data set from the third transient temporal data set of wave forms and of random amplitudes,
- m) injecting the second input validation data set into the nonlinear model of the magnetic bearing or into the magnetic bearing,
- n) collecting the third output validation data set, the second output validation data set resulting from the excitation of the nonlinear model of the magnetic bearing or of the magnetic bearing by the second input validation data set, and
- o) saving the second input validation data set and of the associated third output validation data set, and
- producing a model further comprising a second validation step in which the temporal model generates a fourth output validation data set associated with the second input validation data set.
10 more elements
Dependencies are inferred from the claim text.