Using predictive analytics in electrochemical and electromechanical systems
US10925192B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 14, 2018 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | Nov 2, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning techniques provide predictions of computer system load and cooling requirements, allowing cooling systems to anticipate, prepare for, and ameliorate, those requirements. Techniques provide confirmation or denial that the computer and cooling systems are operating as expected, allowing those systems to determine if any parts are failing. Techniques provide information regarding likely effect due to proposed changes. Techniques provide probabilistic predictions, well in advance, of whether parts will fail or degrade. Techniques provide probabilistic predictions whether parts will fail or degrade, responsive to degrees of redundancy, set points for of cooling, or set points when cooling starts or ends.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.