Model-Assisted Probabilistic Neural Networks for Effective Turbofan Fault Diagnosis
A diagnostic method for gas-path faults of turbofan engines, relying on a Probabilistic Neural Network (PNN) coupled with a thermodynamic model of the engine, is presented. The novel aspect of the method is that its training information is generated dynamically by an accompanying Engine Performance...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2024-11-01
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| Collection: | Aerospace |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2226-4310/11/11/913 |
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