摘要：Analysis of seemingly random experimental data can be difficult when
no phenomenological model is known. If available data is output for even
simple but unknown-dynamics systems, hypotheses could be made and tested for
possible underlying processes, being them from pure random to deterministic
ones, but testing of such hypotheses can be difficult in the practice.
For instance, the study of theoretical systems leading to chaos is an
established mathematical field, but the testing of given experimental data
for the hypotheses of deterministic origin versus a stochastic one is not
simple and it may not be possible. Available analysis techniques are reviewed
and discussed. The author and colleagues have carried out extensive
experimental research work on emission of electrons as a probe for in-situ
on-time surface monitoring, seeking a better understanding of
this triboemission from dry-sliding contacts and during wear, and of the
fractoemission that occurs during plastic deformation and failure. Particle
outputs may be very complex and carry limited information; Electron
triboemission data are typically composed of seemingly deterministic bursts of
emission which are superimposed to lower but seemingly constant levels of
random emission. They are large sets that are acquired in very short-time
windows, were the discrete occurrence of counts is matched to detected
particles, but no information about their energy or paths can be simultaneously
obtained. Analysis of triboemission outputs required new approaches and
techniques: the author studied
