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EN
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.
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