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:
May. 24, 2022

Filed:

Dec. 18, 2015
Applicant:

United Technologies Corporation, Farmington, CT (US);

Inventors:

Michael J. Giering, Bolton, CT (US);

Madhusudana Shashanka, Santa Clara, CA (US);

Soumik Sarkar, Ames, IA (US);

Vivek Venugopalan, Bridgewater, NJ (US);

Assignee:

RAYTHEON TECHNOLOGIES CORPORATION, Farmington, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 23/02 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2022.01); G06V 10/44 (2022.01); G06V 20/56 (2022.01); G06T 7/246 (2017.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G05B 23/0254 (2013.01); G05B 23/0294 (2013.01); G06K 9/6273 (2013.01); G06K 9/6289 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/248 (2017.01); G06V 10/454 (2022.01); G06V 20/56 (2022.01);
Abstract

A method includes converting time-series data from a plurality of prognostic and health monitoring (PHM) sensors into frequency domain data. One or more portions of the frequency domain data are labeled as indicative of one or more target modes to form labeled target data. A model including a deep neural network is applied to the labeled target data. A result of applying the model is classified as one or more discretized PHM training indicators associated with the one or more target modes. The one or more discretized PHM training indicators are output.


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