A dynamic model for tool wear detection using acoustic emission

Abstract In this paper we present a dynamic model that can be used for monitoring those processes that gradually deteriorate from an acceptable condition(process in control)to an unacceptable condition(process out of control).Monitoring of a cutting tool for detection of wear is an example of such a process, where a cutting tool is sharp until it becomes worn. The model is tested, using the spectral components of acoustic emission signals generated in an earlier work, the results are very promising.