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:
Mar. 21, 2023

Filed:

Jun. 03, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Tatiana Teppoeva, Redmond, WA (US);

Vladimir Bakhmetyev, Sammamish, WA (US);

Sailaja Malladi, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/34 (2006.01); G06F 16/2458 (2019.01); G06N 3/08 (2023.01); G06F 9/455 (2018.01); G06F 11/00 (2006.01); G06N 3/04 (2023.01); G06N 3/063 (2023.01); G06F 11/07 (2006.01); G06F 11/30 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 9/45558 (2013.01); G06F 11/004 (2013.01); G06F 16/2477 (2019.01); G06N 3/0445 (2013.01); G06N 3/063 (2013.01); G06F 11/008 (2013.01); G06F 11/079 (2013.01); G06F 11/0751 (2013.01); G06F 11/0766 (2013.01); G06F 11/0772 (2013.01); G06F 11/0793 (2013.01); G06F 11/3006 (2013.01); G06F 11/3409 (2013.01); G06F 11/3447 (2013.01); G06F 11/3452 (2013.01); G06F 2009/4557 (2013.01); G06N 3/0454 (2013.01);
Abstract

In non-limiting examples of the present disclosure, systems, methods and devices for predicting hardware failure events are presented. A time series comprising event log data for a plurality of events and a plurality of event types that occurred on a server computing device may be received. The time series may be filtered for a subset of the plurality of event types. The filtered time series may be processed with a recurrent neural network that has been trained to predict hardware failure events from time series data comprising the subset of the plurality of event types. A prediction may be made that a hardware failure event will occur on the server computing device within a threshold duration of time. A prophylactic follow-up action corresponding to the predicted hardware failure event may be performed.


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