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Abstrakty
Modern production strategies increase the demand for closer monitoring of the machine's condition. Especially wear affects its condition. This paper deals with the methodology of condition monitoring that can be based on different sources of data such as controller NC CNC and additional sensors. Two main methods for assessment are signal analysis based exclusively on measurement data and a model based method The latter is based on comparing the simulation of the objects behaviour with the acquired data. Ball screw drives are key elements of machine tools. They considerably contribute to the machine's performance. The paper compares two signal-based wear inducing characteristics and discusses the results. Afterwards a model-based approach is discussed.
Czasopismo
Rocznik
Tom
Strony
138--151
Opis fizyczny
Bibliogr. 5 poz., rys.
Bibliografia
- [1] KOREN Y, HEISEL U., JOVANE F., MORIWAKI T., PRITSCHOW G., ULSOY G., VAN BRUSSEL H., 2008, Reconfigurable Manufacturing Systems Annals of the CIRP Manufacturing Technology, 48/2/527–540.
- [2] VERL A., HEISEL U., MAIER D., WALTHER M., 2009, Automated Condition Monitoring for the Control of the Predictive Maintenance of Machine Tools. In: Annals of the CIRP, 58/1/375 – 378.
- [3] WALTHER M., 2011, Antriebsbasierte Zustandsdiagnose von Vorschubantrieben. Heimsheim: Jost-Jetter, 2011 (ISW/IPA Forschung und Praxis; 183). Stuttgart, Univ., Fak. Konstruktions-, Produktions- und Fahrzeugtechnik, Inst. für Steuerungstechnik der Werkzeugmaschinen, Diss.
- [4] MAIER D., SUN Z., 2009, On Board Condition Monitoring of Feed Axes by Signal Decomposition for Machines with Ball Screw Drives. In: Journal of Machine Engineering , 9/3/42-63
- [5] IMIELA J., 2006, Verfügbarkeitssicherung von Werkzeugmaschinenachsen mit Kugelgewindetrieb durch modellbasierte Verschleiß - überwachung. Dissertation, Fachbereich Maschinenbau, Universität Hannover. Hannover: PZH-Verlag.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8ed7db64-506f-4d39-8e69-c6e58a2c2df7