The aim of this paper is to present a novel approach to the analysis of the
dynamical evolution of a rectangular natural circulation loop heated from
below. During an experimental phase nonlinear temperature oscillations were
detected at different location and for various unstable operating conditio
ns of the loop. The experimental time series were initially filtered using
wavelet packet approach.
Afterwards, Singular Value Decomposition (SVD) was applied, so to reduce th
e filtered signals to their dominant features, and the calculation of the A
verage Mutual information (AMI) function was performed. Both these approach
es were adopted in order both to take into account the intrinsic nonlinear
behavior of detected temperatures and to obtain a simplified phase space re
presentation of the dynamics of the system.
Such a representation was used to determine the System Dimension, whose kno
wledge represents the first step in the analysis of any dynamical system. F
inally, phase space representations of various operating conditions show th
e presence of dynamical behaviors characterized by different values of the
system dimension, pointing out the possible existence of chaos in the syste
m in study. (C) 2000 Elsevier Science Ltd.