The choice of a measurement strategy in multi-station machining systems is crucial for subsequent successful identification of the root causes of machining errors. The measurement strategy selection is currently not a systematic process and it involves human and expert intervention. Recent advances in the linear state-space modeling of multi-station machining processes facilitate a more formal characterization of measurements in machining and a more systematic approach in the selection of the features that need to be measured. In this paper, we employ the Stream of Variation methodology to evaluate various measurement schemes in multi-station machining systems. Based on this evaluation, measurement synthesis procedures are presented, such that the resulting measurement scheme achieves a tradeoff between measurement uncertainty and the cost of measurements.

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