Pattern detection in time-series data
US11620528B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2019 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Aug 6, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/026
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for detecting patterns in data from a time-series are provided. In one implementation, a method for pattern detection includes obtaining data in a time-series and creating one-dimensional or multi-dimensional windows from the time-series data. The one-dimensional or multi-dimensional windows are created either independently or jointly with the time-series. The method also includes training a deep neural network with the one-dimensional or multi-dimensional windows utilizing historical and/or simulated data to provide a neural network model. Also, the method includes processing ongoing data with the neural network model to detect one or more patterns of a particular category in the ongoing data, and localizing the one or more patterns in time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.