DocumentCode :
289816
Title :
Model based detection of tool wear and breakage for machine tools
Author :
Isermann, R. ; Ayoubi, Mihiar ; Konrad, Heiko ; Reiß, Thomas
Author_Institution :
Inst. of Autom. Control, Tech. Hochschule Darmstadt, Germany
fYear :
1993
fDate :
17-20 Oct 1993
Firstpage :
72
Abstract :
This approach describes a methodology for the fault detection in machine tools by using few robust sensors and dynamic process models. Two different model based methods, parameter estimation and state estimation, are used for the detection of tool wear and tool breakage in the drilling process
Keywords :
Automation; Drilling; Fault detection; Feeds; Machine tools; Mechanical variables control; Parameter estimation; Robust control; Signal processing; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
Type :
conf
DOI :
10.1109/ICSMC.1993.384988
Filename :
384988
Link To Document :
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