Neural-network based analysis and prediction of a compressor’s characteristic performance map
| Autor: | Lingen Chen, Youhong Yu, Fengrui Sun, Chih Wu |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Gas turbines
Engineering Artificial neural network business.industry Mechanical Engineering Experimental data ComputerApplications_COMPUTERSINOTHERSYSTEMS Building and Construction Management Monitoring Policy and Law computer.software_genre Backpropagation Dynamic simulation General Energy Axial compressor Performance prediction Data mining business computer Gas compressor Simulation |
| Zdroj: | Applied Energy. 84:48-55 |
| ISSN: | 0306-2619 |
| DOI: | 10.1016/j.apenergy.2006.04.005 |
| Popis: | The difficulties, due to a lack of information about stage-by-stage axial-compressor performance, are analyzed. To overcome these issues, a three-layer back-propagation neural-network applied Levenberg–Marquardt algorithm is presented and discussed. The experimental data provided by manufacturers are used for the neural-network training. Through twice training, the compressor’s performance map can be predicted. The results can be used for the development of an off-design model or overall dynamic simulation of the behaviour of a gas-turbine power-plant. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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