CHARACTERIZATION OF RUNNING-IN ATTRACTORS RECONSTRUCTED FROM FRICTION SIGNALS

Abstract

Friction tests were conducted by sliding a ring against a disc under oil lubricated condition. The running-in attractor was generated from measured friction force, vibration and noise signals. On the basis of correlation dimension, predictability was introduced from chaos theory to characterize the running-in attractor. Two parameters, i.e. enclosing radius and average distance were proposed innovatively. The algorithms for the proposed parameters were given as well. Correlation dimension, predictability, enclosing radius and average distance were used to describe the complexity, randomness, bound and convergence degree of a running-in attractor, respectively. This study provides new parameters to quantify the running-in attractor and is meaningful for revealing the nonlinear property of the attractor.