Method for the machine learning of frequent chronicles in an alarm log for the monitoring of dynamic systems
US7388482B2 · kind B2 · utility
5Cited by
1References
20Claims
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Key dates
| Filing date | May 25, 2004 |
| Grant date | Jun 17, 2008 |
| Priority date | — |
| Expiry date | Nov 12, 2024 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
An automatic method for learning frequent chronicles in an alarm log of a dynamic system for supervision of the system, and a learning system for using the method in a supervision system. According to the method, in an alarm log, alarm sequences are selected and then grouped in groups of similar sequences. Alarms of the groups are then used to produce partial logs. Frequent chronicles are then learned on each transmitted partial log and the partial set of frequent chronicles is determined. Then a set of chronicles in the log is formed with chronicles of the various partial sets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.