This article investigates two-dimensional distributions of pairs of si
gnals for the case in which a monitored parameter experiences excursio
ns beyond acceptable limits. A sharp increase in the reliability of re
cognition of near-extremal values for the parameter is assured by sele
ction of tightly correlated pairs of extremal signals.