Automatyczny wybór reprezentatywnych fragmentów sygnałów do diagnostyki stanu narzędzia

Krzysztof Błażejak , Sebastian Bombiński , Mirosław Nejman , Krzysztof Jemielniak

Abstract

For the tool condition monitoring systems important issue is the choice of segments of signals on the basis of which the diagnostics should be carried out. This article presents algorithm for fully automatic selection parts of signals which are representative for the tool condition and allow to carry out the calculations online.