Patent ID: 11961052
Assignee: CATERPILLAR INC.
Field: Civil engineering (Other fields)
Classification: CPC E  G | IPC G

Claim 6:
7. A part replacement timing optimization system,
comprising:
one or more processors; and

one or more memory devices having stored thereon instructions that when executed by the one or more processors cause the one or more processors to:
train a wear estimate model, including operations to:
predict a plurality of wear patterns for a part, each wear pattern corresponding to a degree of severity;
automatically generate, by executing a parametric modeling operation, a plurality of training images, each training image in the plurality of training images representing a combination of a corresponding one of the plurality of predicted wear patterns, the degree of severity, and at least one of a load type and a cycle time; and

label each of the plurality of training images with the corresponding degree of severity and the at least one of the load type and the cycle time;
train a neural network with the plurality of labeled training images;

receive a part image, from an image capture device, of a deployed part associated with a machine;
feed the part image into the trained wear estimate model;
receive a wear estimate for the part image from the trained wear estimate model;
estimate a change in performance of the machine based on the wear estimate;
receive telemetry data from the machine;
determine a machine utilization pattern for the machine based on the telemetry data; and
combine the machine utilization pattern and the change in performance estimate to determine an optimal time to replace the part.