Fast behavior and abnormality detection
US10503967B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 23, 2015 |
| Grant date | Dec 10, 2019 |
| Priority date | — |
| Expiry date | Mar 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system includes an interface configured to receive time series data representing information from a plurality of sensors, and a processor configured to construct a behavior model based on the time series data. The processor identifies features in the time series data, divides the time series data of each of the identified features into segments, and extracts feature components from the segments. The processor further constructs a plurality of state graphs, each state graph including components connected by weighted edges, constructs a behavior graph, wherein the state graphs form vertices of the behavior graph, clusters the state graphs in the behavior graph; and selects a representative state graph from each cluster, wherein the behavior model includes the selected state graphs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.