Tool condition monitoring based on numerous signal features

This paper presents a tool wear monitoring strategy based on a large number of signal features in the rough turning of Inconel 625. Signal features (SFs) were extracted from time domain signals as well as from frequency domain transforms and their wavelet coefficients (time–frequency domain). All of...

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Veröffentlicht in:	International journal of advanced manufacturing technology 2012-03, Vol.59 (1-4), p.73-81
Hauptverfasser:	Jemielniak, Krzysztof, Urbański, Tomasz, Kossakowska, Joanna, Bombiński, Sebastian
Format:	Artikel
Sprache:	eng
Schlagworte:	CAE) and Design Computer-Aided Engineering (CAD Condition monitoring Engineering Feature extraction Frequency domain analysis Industrial and Production Engineering Mechanical Engineering Media Management Nickel base alloys Original Article Production planning Signal monitoring Superalloys Tool wear Wavelet analysis
Online-Zugang:	Volltext
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