Contaminants analysis in aircraft engine oil and its interpretation for the overhaul of the engine

  1. Leal, B. 1
  2. Ordieres, J. 2
  3. Capuz-Rizo, S.F. 3
  4. Cifuentes, P. 2
  1. 1 Universidad Metropolitana, Caracas, Venezuela
  2. 2 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

  3. 3 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

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Libro:
Proc. 9th WSEAS Int. Conf. Simulation, Modelling and Optimization, SMO '09, 5th WSEAS Int. Symp. Grid Computing, Proc. 5th WSEAS Int. Symp. Digital Libraries, Proc. 5th WSEAS Int. Symp. Data Mining

ISBN: 978-960474113-7

Año de publicación: 2009

Páginas: 381-386

Tipo: Capítulo de Libro

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SCOPUS: 2-s2.0-78149371950 GOOGLE SCHOLAR

Resumen

In this work, the authors will try to determine, by means of techniques based on Artificial Intelligence, the actual possibilities of using spectrometric analysis, done periodically to the engine oil, as predictors of the condition of the engine. Some similar works have led to a simple linear regression model, but in the particular case of this work it is intended to evaluate if the specific environmental conditions of the region and the low use of aircrafts allow to discuss the convenience of making use of the same criterion or elaborating some specific variant.