Abstract
In order to promote better part quality and optimum productivity, automatic machining monitoring systems are essential for the proper functioning and safety of the manufacturing process. This monitoring process is based on the processing of a signal acquired in real time during manufacture. The signal is based on scientific criteria that guarantee maximum efficiency of the information recorded. In this context, we propose to present a review of the various results resulting from the experimental work on these monitoring systems. Our interest will focus on the study of industrial system diagnostics and on scientific and industrial objectives dealing with the monitoring system in order to early detect any deviation in machine or tool behavior. We will present a description of the means and methods employed in the automatic monitoring of production by machining of metals. More specifically, we will discuss the different diagnostic approaches at the base of the models developed by the scientific community.
Published Version
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