System and method for detecting and predicting anomalies based on analysis of time-series data
US9952921B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 24, 2014 |
| Grant date | Apr 24, 2018 |
| Priority date | — |
| Expiry date | Jul 9, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/0787
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are a system and method for detecting and predicting anomalies based on analysis of time-series data. According to an embodiment of the present disclosure, an abnormality detecting and predicting system includes a database configured to store past case data related to a state of a monitored object; a data collector configured to collect time-series status information of the monitored object; an abnormality detector configured to compare the status information with an abnormality detecting reference in a preset detecting interval and detect an occurrence of an abnormality of the monitored object; a similar case selector configured to select a similar case having a highest degree of similarity to the status information among the past case data when the occurrence of an abnormality is detected by the abnormality detector; and a predictor configured to predict proliferation or diminishing of a detected abnormality using the similar case and an abnormality proliferation predicting reference.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.