Determinación de la Presión Máxima de Compresión de un Mep Basado en una Rnar

Translated title of the contribution: Determination of the Maximum Compression Pressure of a Mep Based on an Rnar

Rafael Wilmer Contreras Urgiles, Anibal Mauricio Arichavala Alvarracin, Cristian Jérez

Research output: Contribution to journalArticle


In the present research the explanation of the applied methodology for the determination of the maximum pressure of compression of an engine of internal combustion alternative of ignited provoked (MEP), that is based on a study that starts from the characterization of the curves of the amperage rating of the starter motor. A protocol for data acquisition and subsequent statistical analysis is applied. The statistical values of the signal as energy, average, standard deviation, variance, kurtosis, asymmetry, maximum, minimum and crest factor are selected in function of the greater contribution of information for the characterization of the experiment; these values generate databases that are applied for the creation and training of a recurrent artificial neural network (RNAR) in which an absolute error of less than 2\% is obtained. In the first instance, the test methodology is applied in an engine assembled in a didactic bank and then the application of the method is applied in vehicles.
Translated title of the contributionDetermination of the Maximum Compression Pressure of a Mep Based on an Rnar
Original languageSpanish (Ecuador)
Pages (from-to)1-10
Number of pages10
Issue number2
StatePublished - 1 Jan 2018


  • Compression pressure
  • Diagnostics
  • Elman network
  • Mep
  • Recurrent layer
  • Rnar

CACES Knowledge Areas

  • 617A Design and Construction of Motor Vehicles, Boats and Aircraft


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