Estudio de la influencia en la frecuencia de muestreo en dispositivos de recolección de datos en OBD II mediante análisis de varianza

Abstract

In the sampling of signals, the incorrect sampling rate generates a distortion when performing the analog-digital reconstruction. The data acquisition is done with a sampling rate equal to or higher than the Nyquist rate to reduce the aliasing. The sampling is done in the OBD - II system and in the sensors, TPS, MAP and Oxygen Sensor. To the statistical model ANOVA, a range of sampling frequencies is entered and it is determined that at a low sampling rate there is an influence on the reconstruction of the signals. The results obtained help to propose an ideal sampling rate for each sensor and thus reduce or eliminate aliasing or other negative effects.