Operational process anomaly detection
US11037080B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 5, 2018 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | Mar 31, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and other embodiments associated with anomaly detection are described. In one embodiment, a method monitoring an on-going project that comprises a plurality of processes and process activities that occur during the process. A machine learning model is applied that identifies a group of projects that are a similar type as the on-going and generates an expected level of process activities that are expected to occur. Based on a snap shot of the on-going project at a first time period, observed levels of process activities are determined that occurred in each process. The machine learning model compares for each of the processes, the observed levels of process activities to the expected levels of process activities in a corresponding time period. If the observed levels of process activities fail to fall within a range of the expected levels of process activities, an anomaly alert is generated and displayed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.