System and method for facilitating prediction data for device based on synthetic data with uncertainties
US10977110B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 27, 2017 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Aug 3, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments described herein provide a system for facilitating a training system for a device. During operation, the system determines a system model for the device that can be based on empirical data of the device. The empirical data is obtained based on experiments performed on the device. The system then generates, from the system model, synthetic data that represents behavior of the device under a failure. The system determines uncertainty associated with the synthetic data and, from the uncertainty, determines a set of prediction parameters using an uncertainty quantification model. The system generates training data from the synthetic data based on the set of prediction parameters and learns a set of learned parameters associated with the device by using a machine-learning-based classifier on the training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.