System and method for predicting and avoiding hardware failures using classification supervised machine learning
US12066908B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 29, 2022 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Oct 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hardware failure prediction and avoidance system executing on a unified endpoint management platform information handling system comprising a network interface device (NID) to receive failed operational telemetries for client devices including power and software analytics, and event viewer error logs, and an error associated with a hardware type, a processor to execute a classification supervised learning algorithm on the failed operational telemetries to determine that a hardware or software configuration will likely co-occur with a future error of the hardware type, identify the hardware or software configuration as problematic, the processor to identify the problematic system configuration in a current operational telemetry by correlating the current operational telemetry with a portion of the failed operational telemetries, and the NID to transmit a recommendation to the first client device to adjust the problematic system configuration in order to avoid occurrence of the error at the first client device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.