Sensor data fusion for prognostics and health monitoring
US11340602B2 · kind B2 · utility
2Cited by
3References
14Claims
0Family size
Assignee
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Key dates
| Filing date | Dec 18, 2015 |
| Grant date | May 24, 2022 |
| Priority date | — |
| Expiry date | Sep 1, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes converting time-series data from a plurality of prognostic and health monitoring (PHM) sensors into frequency domain data. One or more portions of the frequency domain data are labeled as indicative of one or more target modes to form labeled target data. A model including a deep neural network is applied to the labeled target data. A result of applying the model is classified as one or more discretized PHM training indicators associated with the one or more target modes. The one or more discretized PHM training indicators are output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.