Systems and methods for wear assessment and part replacement timing optimization
AssigneeCaterpillar Inc.
InventorsDaniel Joseph Reaume, Daniel Jude Organ, Michael Sharov
Life of this patent
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AssigneeCaterpillar Inc.
InventorsDaniel Joseph Reaume, Daniel Jude Organ, Michael Sharov
Estimating the term…
A method for part replacement timing optimization. The method includes training a wear estimate model. Training the model includes predicting a plurality of wear patterns for a part, each wear pattern corresponding to a degree of severity. Training images are rendered for each wear pattern. Each of the training images is labeled with the corresponding degree of severity. A neural network is then trained with the labeled training images. An image of a deployed part associated with a machine is received and fed into the trained wear estimate model. The method further includes receiving a wear estimate for the part image from the trained wear estimate model, estimating a change in performance of the machine based on the wear estimate, and determining a machine utilization pattern for the machine. The machine utilization pattern and the change in performance estimate are combined to determine an optimal time to replace the part.
A method for part replacement timing optimization, comprising:
A part replacement timing optimization system, comprising:
One or more non-transitory computer-readable media storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
Dependencies are inferred from the claim text.