SYSTEM AND METHOD FOR PISTON RING PROGNOSTIC

1 . A method, comprising:

obtaining a reference profile of a piston ring, wherein the reference profile comprises a plurality of reference fiducials;

receiving a measured profile of the piston ring, wherein the measured profile comprises a plurality of measured fiducials;

aligning the measured profile with the reference profile based on one or more of the plurality of reference fiducials and one or more of the plurality of measured fiducials;

determining one or more wear parameters based on the aligned measured profile and the reference profile, wherein the one or more wear parameters comprises a wear depth value and a wear volume value;

generating a wear model based on the one or more wear parameters; and

estimating a life of the piston ring based on the wear model.

2 . The method of claim 1 , wherein receiving the reference profile comprises obtaining a first plurality of geometrical features of the piston ring from a computer aided design model of the piston ring, wherein the first plurality of geometrical features is representative of the plurality of reference fiducials.

3 . The method of claim 2 , wherein receiving the measured profile comprises measuring a second plurality of geometrical features of the piston ring using a co-ordinate measuring machine, wherein the second plurality of geometrical features is representative of the plurality of measured fiducials.

4 . The method of claim 3 , wherein receiving the measured profile comprises:

acquiring a three-dimensional (3D)-scan of the piston ring;

obtaining a plurality of two-dimensional (2D) images at a plurality of cross-sections based on the 3D scan; and

determining a second plurality of geometrical features of the piston ring based on the plurality of 2D images.

5 . The method of claim 4 , wherein aligning the measured profile comprises registering the measured profile with the reference profile based on the first plurality of geometrical features, and the second plurality of geometrical features.

6 . The method of claim 3 , wherein determining the one or more wear parameters comprises:

interpolating the first plurality of geometrical features by a first polynomial and the second plurality of geometrical features using a second polynomial; and

computing a difference between the first polynomial and the second polynomial to determine the one or more wear parameter.

7 . The method of claim 1 , wherein generating the wear model comprises generating a machine learning model for predicting a wear parameter estimate at a future time instant.

8 . The method of claim 1 wherein estimating the life of the piston ring comprises estimating a future time instant at which the predicted wear parameter estimate exceeds a pre-determined wear limit value.

9 . The method of claim 1 , wherein the plurality of reference fiducials comprises a first forty-five degrees slope, a second forty-five degrees slope, a three-degrees slope and an intersecting point of the three-degrees slope and the second forty-five degrees slope.

10 . A system, comprising:

at least one processor unit and a memory unit communicatively coupled to a communications bus;

a data acquisition unit communicatively coupled to the communications bus and configured to:

obtain a reference profile of a piston ring, wherein the reference profile comprises a plurality of reference fiducials;

receive a measured profile of the piston ring, wherein the measured profile comprises a plurality of measured fiducials;

a profile registration unit communicatively coupled to the data acquisition unit and configured to align the measured profile with the reference profile based on one or more of the plurality of reference fiducials and one or more of the plurality of measured fiducials;

a model generator communicatively coupled to the profile registration unit and configured to:

determine one or more wear parameters based on the aligned measured profile and the reference profile, wherein the one or more wear parameters comprises a wear depth value and a wear volume value;

generate a wear model based on the one or more wear parameters; and

a life prediction unit communicatively coupled to the model generator and configured to estimate a life of the piston ring based on the wear model.

11 . The system of claim 10 , wherein the data acquisition unit is further configured to obtain a first plurality of geometrical features of the piston ring from a computer aided design model of the piston ring, wherein the first plurality of geometrical features is representative of the plurality of reference fiducials.

12 . The system of claim 11 , wherein the data acquisition unit is further configured to measure a second plurality of geometrical features of the piston ring using a co-ordinate measuring machine, wherein the second plurality of geometrical features is representative of the plurality of measured fiducials.

13 . The system of claim 12 , wherein the data acquisition unit is further configured to:

acquire a three-dimensional (3D) scan of the piston ring;

obtain a plurality of two-dimensional (2D)-images at a plurality of cross-sections based on the 3D scan; and

determine the second plurality of geometrical features of the piston ring based on the plurality of 2D images.

14 . The system of claim 13 , wherein the profile registration unit is further configured to register the measured profile with the reference profile based on the first plurality of geometrical features, and the second plurality of geometrical features using a registration technique.

15 . The system of claim 14 , wherein the model generator is further configured to:

interpolate the first plurality of geometrical features by a first polynomial and the second plurality of geometrical features using a second polynomial; and

compute a difference between the first polynomial and the second polynomial to determine the one or more wear parameter.

16 . The system of claim 10 , wherein the model generator is configured to generate a machine learning model for predicting a wear parameter estimate at a future time instant.

17 . The system of claim 16 , wherein the life prediction unit is further configured to estimate a future time instant at which the predicted wear parameter estimate exceeds a pre-determined wear limit value.

18 . The system of claim 10 , wherein the plurality of reference fiducials comprises a first forty-five degrees slope, a second forty-five-degrees slope, a three-degrees slope and an intersecting point of the three-degrees slope and the second forty-five-degrees slope.