Using a genetic algorithm to select a subset of quality metrics as input to a disk drive failure prediction algorithm
US7236911B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2004 |
| Grant date | Jun 26, 2007 |
| Priority date | — |
| Expiry date | Jan 12, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11B2220/2516
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A subset of quality metrics as input to a disk drive failure prediction algorithm (DFPA) may be selected using a genetic algorithm. The DFPA is executed for an initially selected generation of subset quality metrics using quality metric values stored in a reference data base. At least one DFPA setting is adjusted and the DFPA executed again for the selected subset. After training the DFPA, the best DFPA setting is saved for the selected subset. A fitness score is generated for the selected subset, representing an accuracy of the DFPA relative to failure indicators stored in the reference data base. At least one genetic operator is applied in response to the fitness scores to generate a new generation of subsets. The process is repeated until a best subset of quality metrics and corresponding DFPA setting are found.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.