Automatic health indicator learning using reinforcement learning for predictive maintenance
US11042145B2 · kind B2 · utility
7Cited by
2References
14Claims
0Family size
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Key dates
| Filing date | Jun 13, 2018 |
| Grant date | Jun 22, 2021 |
| Priority date | — |
| Expiry date | Nov 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Example implementations described herein are directed to systems and methods for predictive maintenance with health indicators using reinforcement learning. An example implementation includes a method to receive sensor data, operational condition data, and failure event data and generate a model to determine health indicators that indicate equipment performance based on learned policies, state values, and rewards. The model is applied to external sensor readings and operating data for a piece of equipment to output a recommendation based on the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.