US 11,816,178 B2
Root cause analysis using granger causality
Ajil Jalal, Austin, TX (US); Karthikeyan Shanmugam, Elmsford, NY (US); and Bhanukiran Vinzamuri, Elmsford, NY (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 9, 2021, as Appl. No. 17/643,470.
Application 17/643,470 is a continuation of application No. 16/710,893, filed on Dec. 11, 2019, granted, now 11,238,129.
Prior Publication US 2022/0100817 A1, Mar. 31, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 15/16 (2006.01); G06F 9/54 (2006.01); H04L 29/06 (2006.01); G06F 17/16 (2006.01); G01M 99/00 (2011.01); G06N 20/00 (2019.01); G06F 11/07 (2006.01); G06F 17/18 (2006.01); G05B 23/02 (2006.01); H04L 41/0631 (2022.01)
CPC G06F 17/16 (2013.01) [G01M 99/005 (2013.01); G05B 23/0281 (2013.01); G06F 11/079 (2013.01); G06F 17/18 (2013.01); G06N 20/00 (2019.01); H04L 41/0631 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a memory that stores computer executable components; and
a processor, operably coupled to the memory, and that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a maintenance component that detects a cause of failure for a second system by employing a greedy hill climbing process to perform a number of conditional independence tests to determine a causality between variables from time series data of the second system given a conditioning set.