Sensor signal prediction at unreported time periods
US11423051B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 20, 2020 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Nov 5, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, a computer program product, and a system for predicting low-frequency sensor signal predictions using a hierarchical prediction model. The method includes receiving a historical dataset of high-frequency sensor signal data and low-frequency sensor signal data. The method also includes generating a Gaussian process regression model using the historical dataset and sensor parameters and outputting high-frequency sensor signal predictions. The method also includes generating a hierarchical Gaussian process model using the historical dataset and the high-frequency sensor signal predictions and predicting low-frequency sensor signal predictions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.