US 12,131,595 B2
Systems and methods for identifying field-replaceable units using a digital twin
Rohan Achyut Gumaste, Louisville, KY (US); Michael Haas, Columbus, IN (US); Tara L. Hemami, Columbus, IN (US); Krithika Mohan, Columbus, IN (US); Veronica Susan Perks, Greenwood, IN (US); Shakti Saurabh, Columbus, IN (US); and Jeffrey David Selwyn Diwakar Abraham, Columbus, IN (US)
Assigned to Cummins Inc., Columbus, IN (US)
Appl. No. 17/762,717
Filed by Cummins Inc., Columbus, IN (US)
PCT Filed Sep. 22, 2020, PCT No. PCT/US2020/051926
§ 371(c)(1), (2) Date Mar. 22, 2022,
PCT Pub. No. WO2021/061603, PCT Pub. Date Apr. 1, 2021.
Claims priority of provisional application 62/904,090, filed on Sep. 23, 2019.
Prior Publication US 2022/0398876 A1, Dec. 15, 2022
Int. Cl. G07C 5/08 (2006.01); G06F 30/20 (2020.01); G06F 119/02 (2020.01)
CPC G07C 5/0808 (2013.01) [G06F 30/20 (2020.01); G07C 5/0816 (2013.01); G06F 2119/02 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A computing system comprising a processor and a memory having computer-executable instructions stored therein that, when executed by the processor, are structured to cause the computing system to perform operations comprising:
receiving operating data provided by a telematics circuit associated with a vehicle system that is remotely disposed relative to the computing system, the operating data comprising information from at least one of at least one sensor or at least one actuator within the vehicle system;
based on the operating data, identifying a plurality of field-replaceable units (FRUs) of the vehicle system, each FRU of the plurality of FRUs comprising one or more components within the vehicle system;
generating a computer-based simulation for diagnostic analysis of each FRU of the plurality of FRUs;
determining an expected error value corresponding to at least one degradation level for each FRU of the plurality of FRUs based on a comparison of the computer-based simulation with the operating data;
identifying a most probable failure corresponding to a FRU of the plurality of FRUs in the vehicle system by ranking the expected error value corresponding to the at least one degradation level for each of the plurality of FRUs;
generating an electronic notification comprising data associated with the most probable failure corresponding to the FRU in the vehicle system; and
transmitting the electronic notification to a computing device to indicate the most probable failure in the vehicle system.