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:
Oct. 11, 2022

Filed:

Aug. 14, 2019
Applicant:

Rockwell Collins, Inc., Cedar Rapids, IA (US);

Inventors:

Daniel J. Kaplan, Melbourne Beach, FL (US);

Christopher A. Hohensee, Palm Bay, FL (US);

Yeshani D. Wijesekara Gamachchige, Melbourne, FL (US);

Chadwick K. J. Harvey, Wilsonville, OR (US);

Assignee:

Rockwell Collins, Inc., Cedar Rapids, IA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B64F 5/60 (2017.01); G06N 20/00 (2019.01); G07C 5/08 (2006.01); H04Q 9/02 (2006.01); G06F 11/30 (2006.01); H04L 67/12 (2022.01);
U.S. Cl.
CPC ...
B64F 5/60 (2017.01); G06F 11/3013 (2013.01); G06N 20/00 (2019.01); G07C 5/0808 (2013.01); H04Q 9/02 (2013.01); H04L 67/12 (2013.01); H04Q 2209/10 (2013.01); H04Q 2209/30 (2013.01);
Abstract

A predictive maintenance system is disclosed. The system includes a network of analog and digital sensors, each sensor configured for measuring telemetry data associated with temperature levels, voltage levels, current levels, and other analog or digital parameters. The system includes microprocessors for receiving the (digitized) analog and digital telemetry data, tabulating and timestamping the raw telemetry datasets. The microprocessors compress the raw data and reduce its dimensionality by generating principal component sets from the raw data based on scalar parameters corresponding to machine learning algorithms stored to memory, the principal component sets capturing a majority of variances within the raw data. The principal component sets are organized into data packets including identifiers for the relevant algorithms. The data packets are transmitted via real time networks for either onboard storage or ground-based analysis.


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