Anomaly and mode inference from time series data
US11277425B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2019 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Oct 5, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1425
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products for anomaly and mode inference from time series data are provided herein. A computer-implemented method includes receiving time-series sensor data for each one of a group of devices; extracting a set of states for each device in the group from the time-series sensor data; constructing a state-transition graph for each of the devices, wherein each of the state-transition graphs comprises nodes corresponding to each state in the set and edges corresponding to a probability of transition between the extracted states over time; identifying, for each set, a given state as one of: a mode, a normal state and an anomalous state based on the state-transition graph; and detecting one or more anomalous devices in the group by computing similarities between different devices in the group, based at least in part on the determined state-transition graphs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.