Data processing method, corresponding processing system, sensor device and computer program product
US12165037B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 2, 2021 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Sep 9, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An embodiment method comprises applying domain transformation processing to a time-series of signal samples, received from a sensor coupled to a dynamical system, to produce a dataset of transformed signal samples therefrom, buffering the transformed signal samples, obtaining a data buffer having transformed signal samples as entries, computing statistical parameters of the data buffer, producing a drift signal indicative of the evolution of the dynamical system as a function of the computed statistical parameters, selecting transformed signal samples buffered in the data buffer as a function of the drift signal, applying normalization processing to the buffered transformed signal samples, applying auto-encoder artificial neural network processing to a dataset of resealed signal samples, and producing a dataset of reconstructed signal samples and calculating an error of reconstruction. The error of reconstruction reaching or failing to reach a threshold value is indicative of the evolution of dynamical system over time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.