Wavelet networks for sensor signal classification in flank wear assessment

It is known that the force and vibration sensor signals in a turning process are sensitive to the gradually increasing flank wear. Based on this fact, this paper investigates a flank wear assessment technique in turning through force and vibration signals. Mainly to reduce the computational burden a...

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Veröffentlicht in:	Journal of intelligent manufacturing 1998-08, Vol.9 (4), p.315
Hauptverfasser:	Pittner, Stefan, Kamarthi, Sagar V, Gao, Qinglan
Format:	Artikel
Sprache:	eng
Schlagworte:	Machine shops Manufacturing Manufacturing industry Neural networks Sensors Studies
Online-Zugang:	Volltext
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