Predicting drive failures
US10216558B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2016 |
| Grant date | Feb 26, 2019 |
| Priority date | — |
| Expiry date | Jan 16, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Predicting individual drive failures is achieved using machine learning models of drive behavior history based on samples of SMART data attributes collected over distinct time-periods. The drive behavior history is a historical feature added to drive features modeled based on a last sample of SMART data attributes. The drive behavior history feature is used in successive modeling of drive behavior history to increase accuracy in predicting an individual drive's failure over time. Consecutive individual drive failure predictions are aggregated to further increase accuracy in predicting an individual drive's failure. In one embodiment, the system models drive behavior history and other drive features using a machine learning model. Individual drives classified as predicted to fail within a certain period of time are incorporated into a drive replacement strategy that factors in a field-based replacement cost associated with the drive.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.