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. 25, 2022

Filed:

Sep. 27, 2018
Applicants:

Vidyabhushana Hande, Bangalore, IN;

P. V. Sudev Nair, Bangalore, IN;

Inventors:

Vidyabhushana Hande, Bangalore, IN;

P. V. Sudev Nair, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/418 (2006.01); F16C 41/00 (2006.01); G05B 23/02 (2006.01); G06Q 10/04 (2012.01); G06Q 10/06 (2012.01); G06Q 10/00 (2012.01);
U.S. Cl.
CPC ...
G05B 19/41885 (2013.01); F16C 41/00 (2013.01); G05B 23/0254 (2013.01); G05B 23/0283 (2013.01); G06Q 10/04 (2013.01); G06Q 10/067 (2013.01); G06Q 10/06375 (2013.01); G06Q 10/20 (2013.01); F16C 2233/00 (2013.01); G05B 2219/50185 (2013.01);
Abstract

Systems, methods, and control units for diagnosis and life prediction of one or more electro-mechanical system are provided. One method includes receiving sensor data from a plurality of sensors associated with operation of the electro-mechanical system. The method includes determining at least one system response associated with at least one failure mode of the electro-mechanical system from the sensor data, wherein the sensor data is indicative of the at least one failure mode of the electro-mechanical system. The method further includes receiving at least one simulated response associated with the at least one failure mode of the electro-mechanical system, wherein the at least one failure mode is simulated on a system model of the electro-mechanical system. The method includes generating a hybrid model of the electro-mechanical system in real-time based on the at least one system response and the at least one simulated response, wherein the hybrid model combines the at least one system response and the at least one simulated. The method also includes generating a diagnosis of the electro-mechanical system based on the hybrid model, wherein the diagnosis includes identification of one or more failures in the electro-mechanical system and wherein the one or more failures indicates initiation of degradation of the one or more electro-mechanical system. The method includes predicting a life trend of the electro-mechanical system based on the diagnosis.


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