Nonlinear neural network fault detection system and method
US7660774B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Jun 24, 2005 |
| Grant date | Feb 9, 2010 |
| Priority date | — |
| Expiry date | Jan 21, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for fault detection is provided. The fault detection system provides the ability to detect symptoms of fault in turbine engines and other mechanical systems that have nonlinear relationships. The fault detection system uses a neural network to perform a data representation and feature extraction where the extracted features are analogous to principal components derived in a principal component analysis. This neural network data representation analysis can then be used to determine the likelihood of a fault in the system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.