Konrad, Heiko (1996)
Fault detection in milling, using parameter estimation and classification methods.
In: Control Engineering Practice, 4 (11)
doi: 10.1016/0967-0661(96)00172-4
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
In this paper a new method of fault detection in milling is reported. Based on measured cutting forces, model parameters are estimated for each insert of the milling cutter. Using a classifier, the patterns of these estimated parameters are processed further, and the state of the milling process is determined. The method was first tested with simulated data, and then verified with measurements on a machining center.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 1996 |
| Autor(en): | Konrad, Heiko |
| Art des Eintrags: | Bibliographie |
| Titel: | Fault detection in milling, using parameter estimation and classification methods |
| Sprache: | Englisch |
| Publikationsjahr: | 1 November 1996 |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Control Engineering Practice |
| Jahrgang/Volume einer Zeitschrift: | 4 |
| (Heft-)Nummer: | 11 |
| DOI: | 10.1016/0967-0661(96)00172-4 |
| Kurzbeschreibung (Abstract): | In this paper a new method of fault detection in milling is reported. Based on measured cutting forces, model parameters are estimated for each insert of the milling cutter. Using a classifier, the patterns of these estimated parameters are processed further, and the state of the milling process is determined. The method was first tested with simulated data, and then verified with measurements on a machining center. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik |
| Hinterlegungsdatum: | 19 Nov 2008 16:00 |
| Letzte Änderung: | 20 Jul 2023 12:18 |
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