Root cause analysis and automation using machine learning
US11496353B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2020 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | Oct 19, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/5009
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method for discovering and diagnosing network anomalies. The method includes receiving key performance indicator (KPI) data and alarm data. The method includes extracting features based on samples obtained by discretizing the KPI data and the alarm data. The method includes generating a set of rules based on the features. The method includes identifying a sample as a normal sample or an anomaly sample. In response to identifying the sample as the anomaly sample, the method includes identifying a first rule that corresponds to the sample, wherein the first rule indicates symptoms and root causes of an anomaly included in the sample. The method further includes applying the root causes to derive a root cause explanation of the anomaly and performing a corrective action to resolve the anomaly based on the first rule.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.