The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 05, 2023

Filed:

May. 16, 2022
Applicant:

Raytheon Technologies Corporation, Farmington, CT (US);

Inventors:

Thomas A. Frewen, West Hartford, CT (US);

Ozgur Erdinc, Mansfield, CT (US);

Hala Mostafa, Newington, CT (US);

Mei Chen, Shanghai, CN;

Draguna Vrabie, West Richland, WA (US);

Assignee:

RAYTHEON TECHNOLOGIES CORPORATION, Farmington, CT (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G07C 5/08 (2006.01); G01M 15/14 (2006.01); G07C 5/00 (2006.01); G06Q 10/0875 (2023.01); G06Q 10/06 (2023.01); G06Q 10/20 (2023.01);
U.S. Cl.
CPC ...
G01M 15/14 (2013.01); G06Q 10/06 (2013.01); G06Q 10/0875 (2013.01); G06Q 10/20 (2013.01); G07C 5/006 (2013.01); G07C 5/0808 (2013.01);
Abstract

A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.


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