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:
Feb. 18, 2025

Filed:

Nov. 23, 2021
Applicant:

Telecom Italia S.p.a., Milan, IT;

Inventors:

Pino Castrogiovanni, Turin, IT;

Roberta Giannantonio, Turin, IT;

Ennio Grasso, Turin, IT;

Pier Giorgio Santandrea, Bologna, IT;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 41/0604 (2022.01); H04L 41/147 (2022.01); H04L 41/16 (2022.01); H04L 41/5074 (2022.01);
U.S. Cl.
CPC ...
H04L 41/0604 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 41/5074 (2013.01);
Abstract

A system for managing network alarms generated by element manager modules responsive to corresponding faults/malfunctioning affecting network nodes or links of a telecommunication network is provided. The system may include an alarm management platform for gathering network alarms and generating a first set of network alarms comprising at least a subset of the gathered network alarms; a network operator unit arranging the network alarms into a network alarm table, and managing the faults/malfunctioning affecting the network nodes or links corresponding to the network alarms; an alarm prediction module receiving from the alarm management platform an alarm duration prediction request about a predicted duration of a selected network alarm and alarm data regarding the selected network alarm and generating an alarm duration prediction about the predicted duration by processing alarm data regarding the selected network alarm through a first machine learning algorithm trained with alarm data regarding past network alarms.


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