Diagnosis of abnormal operation modes of a machine utilizing self organizing map
US7743005B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2005 |
| Grant date | Jun 22, 2010 |
| Priority date | — |
| Expiry date | Sep 6, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus that detects a multiplicity of normal data sets, each of which includes values of n parameters, for each of the operation modes of an object having a plurality of operation modes. Self-organizing maps are provided for each operation mode using the normal data sets. Abnormal data sets representing virtual abnormal states are created by modifying the values of the n parameters of each of the multiple normal data sets so that as many abnormal data sets as the number of deviation vectors are created for each of the multiple normal data sets. Abnormal operation mode proportion vectors are then created by selecting a self-organizing map from the above noted self-organizing maps which has the highest similarity degree to each of the abnormal data sets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.