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

Abstract

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
JournalIngenius
Volume2
Issue number2
DOIs
StatePublished - 1 Jan 2018

Keywords

  • Compression pressure
  • Diagnosis
  • Mep
  • Recurrent layer
  • Red elman
  • Rnar

CACES Knowledge Areas

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

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