Data segmentation of effective power signals in the hobbing process

Knowledge about the angular tool position is important for many modern process monitoring or control systems in machining. However, the availability of a high-resolution encoder is not always given, and its access creates further expenditure. Hence, a new method was developed to generate the tool position out of the measurement signal of the effective power. Thus, the signal used for process monitoring also provides further information about the tool position. The method is based on a statistical analysis of the signal in order to find recurring patterns and is validated in a hobbing process.