![Masters Theses](../../assets/md5images/ebc0648ded2cd429f55e0a2fe4407546.gif)
Masters Theses
Date of Award
8-1995
Degree Type
Thesis
Degree Name
Master of Science
Major
Mechanical Engineering
Major Professor
Ke Nguyen
Abstract
Methods of chaotic time series analysis are applied to typical engine data in order to identify and characterize deterministic effects. Pressure and engine-speed time series from three different spark-ignition internal combustion engines are examined as example data sets.
The mutual information function is evaluated comparatively with the autocorrelation function to measure temporal coupling in peak-pressure sequences and engine-speed time series. The utility of windowing or Poincare sectioning the data in order to highlight portions of the engine cycle is developed and discussed. Additionally, estimates of Kolmogorov entropy and correlation dimension and the method of surrogate data suggest a discernible degree of nonlinear deterministic effects in the examined data.
Recommended Citation
Finney, Charles Edward Andrew, "Identification and characterization of determinism in spark-ignition internal combustion engines. " Master's Thesis, University of Tennessee, 1995.
https://trace.tennessee.edu/utk_gradthes/11108