This paper deals with the Time - Frequency - Distribution (TFD) of transient instationary vibrations, which appears at the milling of wood or wood-like materials (chipboards) by means of wood processing tools. Correlating with the wear of cutting edges features can be extracted out of the measured acceleration signals by means of time-frequency analysis. We developed an algorithm for recognition of the actual state of wear. Each of the cutting edges of a multiblade milling head can be attached to a certain class, which describes the degree of wear. All classes are defined by the accompanying vector of characteristic features in the multidimensional feature-space. For pattern recognition we use a databased classificator. This approach is futhermore demonstrated by an example.
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