  We propose an informal test for stationarity in a time series which checks
for the compatibility of nonlinear approximations to the dynamics made in
different segments of the sequence. The segments are compared directly, rather
than via statistical parameters. The approach provides detailed information
about episodes with similar dynamics during the measurement period. Thus
physically relevant changes in the dynamics can be followed.
