CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks

The failure of critical components in industrial systems may have negative consequences on the availability, the productivity, the security and the environment. To avoid such situations, the health condition of the physical system, and particularly of its critical components, can be constantly asses...

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Veröffentlicht in:	Mechanical systems and signal processing 2012-04, Vol.28, p.167-182
Hauptverfasser:	Tobon-Mejia, D.A., Medjaher, K., Zerhouni, N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Assessments Automatic Computer numerical control Condition-based maintenance Diagnostic Dynamical systems Dynamics Engineering Sciences Health Hidden Markov Models Mathematical models Phases Prognostic Remaining useful life Tool wear
Online-Zugang:	Volltext
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