Acoustic emission (AE) has been chosen as a means of monitoring cutting system changes from remote sensor locations. The determination of a processing strategy which can remove signal transmission path variability has been explored. This strategy, termed homomorphic processing, is developed and tested on both simulated and experimentally collected data. The recovery properties of this strategy are analyzed in terms of both AE source characterization and signal path transmission effects. These properties are found to be influenced by the choice of homomorphic lifter cutoff time. Guidelines are given for the selection of this parameter. Spectral representations of the recovered AE source show that signatures collected at remote sensor locations can be successfully used to identify process and structural changes in the cutting system.

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