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:
Aug. 01, 2023

Filed:

Jul. 29, 2022
Applicant:

Garrett Transportation I Inc., Torrance, CA (US);

Inventors:

Tim Felke, Damascus, MD (US);

Rajneesh Kumar, Canton, MI (US);

Balaji Arumugam, Marietta, GA (US);

Gwenaelle Cheramy, Franklin, TN (US);

Assignee:

Garrett Transportation I Inc., Torrance, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 20/00 (2019.01); G05B 23/02 (2006.01); G06F 11/26 (2006.01); G06F 21/55 (2013.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
H04L 63/1416 (2013.01); G05B 23/0243 (2013.01); G05B 23/0251 (2013.01); G05B 23/0283 (2013.01); G06F 11/261 (2013.01); G06F 21/55 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); H04L 63/1425 (2013.01); H04L 63/1433 (2013.01); H04L 63/1441 (2013.01);
Abstract

An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost-effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms to known equipment failures. This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.


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