Real-time anomaly detection and mitigation for streaming functional data
US12341800B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2024 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Dec 16, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Functions representing sequences of values of a time-series dataset measured within a particular time period are accessed. For a current time window of the time period, a first discretized covariance function is computed that represents a relationship between each value measured within the current time window. Eigenanalysis of the first covariance function is performed to estimate first eigenfunctions. The current time window is incremented to obtain a subsequent time window that overlaps a majority of the current time window at a shared window region. A second discretized covariance function is computed for the subsequent time window and eigenanalysis is performed to estimate second normalized eigenfunctions. An angle change is computed between a portion of the first normalized eigenfunctions and a corresponding portion of the second normalized eigenfunctions located within the shared window region. Based on the angle change, an anomaly detection output is generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.