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:
Nov. 19, 2024

Filed:

Nov. 23, 2021
Applicant:

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

Inventors:

Seema Nagar, Bangalore, IN;

Pooja Aggarwal, Bengaluru, IN;

Dipanwita Guhathakurta, Kolkata, IN;

Rohan R Arora, Danbury, CT (US);

Amitkumar Manoharrao Paradkar, Mohegan Lake, NY (US);

Larisa Shwartz, Greenwich, CT (US);

Bing Zhou, Rye, NY (US);

Noah Zheutlin, White Plains, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/0631 (2022.01); G06N 3/02 (2006.01); H04L 41/14 (2022.01); H04L 41/147 (2022.01); H04L 41/16 (2022.01); H04L 43/06 (2022.01);
U.S. Cl.
CPC ...
H04L 41/064 (2013.01); G06N 3/02 (2013.01); H04L 41/145 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 43/06 (2013.01);
Abstract

A computer-implemented method and a computer system for identifying persistent anomalies for failure prediction. The computer system receives a time series data stream. The computer system received a predetermined number N and a predetermined number M which is a fraction of N. The computer system segments the time series data stream into N consecutive sliding windows. The computer system performs supervised persistent anomaly detection to determine whether anomalies across the N consecutive sliding windows are persistent, by using a binary classification model. The computer system performs unsupervised persistent anomaly detection to determine whether the anomalies across the N consecutive sliding windows are persistent. The computer system combines results of the supervised persistent anomaly detection and results of the unsupervised persistent anomaly detection to determine persistent anomalies.


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