US 11,842,553 B2
Wear detection in mechanical equipment
Christopher J. Vander Neut, Spring, TX (US); Matthew L. Dinslage, Magnolia, TX (US); and Thomas A. Schiff, Spring, TX (US)
Assigned to ExxonMobil Technology and Engineering Company, Annandale, NJ (US)
Appl. No. 17/287,821
Filed by ExxonMobil Technology and Engineering Company, Annandale, NJ (US)
PCT Filed Nov. 15, 2019, PCT No. PCT/US2019/061779
§ 371(c)(1), (2) Date Apr. 22, 2021,
PCT Pub. No. WO2020/117453, PCT Pub. Date Jun. 11, 2020.
Claims priority of provisional application 62/776,069, filed on Dec. 6, 2018.
Prior Publication US 2021/0383160 A1, Dec. 9, 2021
Int. Cl. G06V 20/64 (2022.01); G06V 10/764 (2022.01)
CPC G06V 20/64 (2022.01) [G06V 10/764 (2022.01); G06V 2201/06 (2022.01)] 7 Claims
OG exemplary drawing
 
1. A method for detecting equipment wear, the method comprising:
receiving a three-dimensional image from a three-dimensional scanning rig depicting a surface of a portion of a piece of equipment, wherein the three-dimensional scanning rig comprises at least a left scanner and at least a right scanner, the at least left scanner and the at least right scanner attached to a handle;
using a machine classifier to detect a specific wear pattern in the image, wherein the machine classifier is trained using labeled images of the specific wear pattern; and
generating a recommendation to change the piece of equipment's operation, wherein the change is predicted to decrease a rate of growth for the specific wear pattern.