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:
Dec. 31, 2024

Filed:

Dec. 15, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Nianjun Zhou, Chappaqua, NY (US);

Dhavalkumar C. Patel, White Plains, NY (US);

Anuradha Bhamidipaty, Yorktown Heights, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/20 (2023.01); G06N 3/098 (2023.01); G06Q 50/06 (2024.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); G06N 3/098 (2023.01); G06Q 50/06 (2013.01);
Abstract

A computer implemented federated learning method of predicting failure of assets includes generating a local model at a local site for each of the cohorts and training the local model on local data for each of the cohorts for each failure type. The local model is shared with a central database. A global model is created based on an aggregation of a plurality of the local models from a plurality of the local sites. At each of the plurality of local sites, one of the global model and the local model is chosen for each of the cohorts. The chosen model operates on local data to predict failure of the assets. The utilized features include partitioning features of the assets into static features, semi-static features, and dynamic features, and forming cohorts of the assets based on the static features and the semi-static features.


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