Scalable and bottom-up approach to automated anomaly detection
US11599815B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 21, 2019 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Aug 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are disclosed for bottom-up modeling and prediction of asset anomalies. In one embodiment, the system receives first sensor data from a first sensor, the first sensor associated with a first asset; smooths the first sensor data; determines a first stage within sensor data, the sensor data including the first sensor data; determines a first set of anomalies within the first stage; generates a first asset state space associated with the first asset; trains a base model describing a first group of one or more assets, the first group of one or more assets including the first asset; and trains, using the base model, a final model particular to the first asset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.