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1. EP3660482 - SYSTÈME, APPAREIL ET PROCÉDÉ DE DÉTERMINATION DE LA DURÉE DE VIE RESTANTE D'UN PALIER

Note: Texte fondé sur des processus automatiques de reconnaissance optique de caractères. Seule la version PDF a une valeur juridique

[ EN ]
Claims

1. A method of determining remaining life of a bearing (390), the method comprising:

generating a bearing model (100) of the bearing (390), wherein the bearing model (100) is based on one of condition data associated with operation of the bearing (390), historical condition data of the bearing (390), bearing specification and technical specification of a technical system (380) including the bearing (390);

predicting a defect in the bearing (390) based on the bearing (390) model;

predicting the remaining life of the bearing (390) based on the predicted defect.


  2. The method according to claim 1, wherein generating a bearing model (100) of the bearing (390) comprises:

generating a voltage model of the bearing (390) based on the condition data including bearing (390) load and bearing (390) speed, wherein the voltage model maps the bearing (390) load and the bearing (390) speed with respect to breakdown voltage of the bearing (390) and a common mode voltage of the bearing (390); and

generating a current model of the bearing (390) based on the voltage model, the bearing specification and the technical specification, wherein the current model maps the breakdown voltage and the common mode voltage to discharge current.


  3. The method according to claim 2, wherein generating the voltage model of the bearing (390) based on the condition data including bearing (390) load and bearing (390) speed comprises:

converting an alternating voltage input to the technical system (380) to a pulse width modulated output;

determining whether the pulse width modulated output is within a predetermined voltage threshold; and

determining the breakdown voltage and the common mode voltage based on deviation from the predetermined voltage threshold.


  4. The method according to claim 2, wherein generating the current model of the bearing (390) based on the voltage model and the bearing specification comprises:

generating an equivalent circuit with the bearing specification and the technical specification; and

generating the current model by applying the common mode voltage on the equivalent circuit, wherein the current model includes values of the discharge current in time series.


  5. The method according to claim 2, further comprising generating a spark heat based on the current model; and determining a spark diameter based on the current model, wherein the thermal model maps the spark heat and the spark diameter to the discharge current and wherein the thermal model includes distribution of the spark heat and the spark diameter in time series.
  6. The method according to one of claim 2 and 5, further comprising:

determining radius and peaks of the discharge current in the current model;

determining the spark heat for a bearing (390) surface of the bearing (390) based on the radius and peaks of discharge current; and

generating the thermal model by mapping the spark heat and the spark diameter with the discharge current and surface points on the bearing (390) surface.


  7. The method according to claim 1, wherein predicting a defect in the bearing (390) based on the bearing model (100) comprises:

comparing the condition data with defect profiles, wherein the defect profiles are generated based on the bearing specification and the technical specification; and

predicting the defect in the bearing (390) based on the comparison with the defect profiles.


  8. The method according to claim 1, further comprising:

predicting an erosion pattern on the bearing (390) surface based on the defect profile.


  9. The method according to claim 1, wherein predicting the remaining life of the bearing (390) based on the predicted defect, comprises:

predicting a defect propagation based on location of the defect and type of the defect; and

predicting the remaining life of the bearing (390) based on the predicted defect propagation.


  10. The method according to one of claim 1 to claim 9, further comprising:

estimating an expended life of the bearing (390) based on the bearing (390) model; and

rendering the expended life, the remaining life and a usage profile of the bearing (390).


  11. An apparatus (300) for determining remaining life of a bearing (390), the apparatus comprising:

one or more processing units (304); and

a memory unit (310) communicative coupled to the one or more processing units, wherein the memory unit comprises a bearing (390) module stored in the form of machine-readable instructions executable by the one or more processing units, wherein the bearing (390) module is configured to perform one or more method steps according to claims 1 to 10.


  12. A system (400) comprising:

one or more devices capable of providing condition data associated with operation of one or more technical system s (482, 484, 486, 488) in a plurality of facilities (480, 485); and

an apparatus (300) according to claim 11, communicatively coupled to the one or more devices, wherein the apparatus (300) is configured for determining remaining life of at least one bearing (482A, 484A, 486A and 488A) in the one or more technical systems (482, 484, 486, 488).


  13. A computer-program product having machine-readable instructions stored therein, which when executed by one or more processing units, cause the one or more processing units to perform a method according to claims 1 to 10.