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Simulation des performances et diagnostic des états défectueux des systèmes frigorifiques à cycle à air des avions civils.

Performance simulation and diagnosis of faulty states in air-cycle refrigeration systems in civil aircrafts.

Auteurs : LI Y., HU H., LEI R.

Type d'article : Article de la RIF

Résumé

In the present study, performance simulation models and diagnosis method of faulty states in air-cycle refrigeration systems in civil aircrafts are developed, and the effects of the training data set on the diagnosis accuracy were analyzed. A base model for normal state simulation of air-cycle refrigeration system (ACS) was established based on the existing method with several modifications to improve accuracy and performance. Dedicated models for faulty states were developed according to the causes of fault. Based on the established models, a data set was generated. Preliminary training of multiple two-layer neural network models is performed with the existing data set, and the trained model achieved a validation accuracy of 99.00 % which confirms the  feasibility of using double-layer neural network for fault identification and classification based on simulation data. The effects of the training data set to the model are analyzed, and it was concluded that: a data set of about 50,000 entries can be used to train a satisfactory diagnostic model; the proportion of normal state data needs to be reduced appropriately to improve the sensitivity of the model to faulty states; it is possible to largely reduce the number of sensors with smaller effect to the diagnosis accuracy.

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Format PDF

Pages : p. 232-242

Disponible

  • Prix public

    20 €

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    Gratuit

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Performance simulation and diagnosis of faulty states in air-cycle refrigeration systems in civil aircrafts.
  • Identifiant de la fiche : 30032071
  • Langues : Anglais
  • Sujet : Technologie
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - Vol. 156
  • Date d'édition : 12/2023
  • DOI : http://dx.doi.org/10.1016/j.ijrefrig.2023.10.006

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