It is well known that machining process monitoring is a crucial requirement
in the successful implementation of the automated/unmanned operation of a
plant, also referred to as FMS, CIM, CAPP, etc. This necessity has been rec
ognized by many researchers in Korea and many encouraging results have been
reported, despite the relatively short time that this area has been resear
ched. This paper is intended to offer a comprehensive review of the current
state of machining process monitoring research in Korea. Research concerni
ng the monitoring of such machining states as chatter, tool fracture and we
ar, built-up edge, chip type, runout, etc. is included. General diagnostic
techniques will be discussed to some extent. Sensors used to monitor machin
ing processes will be investigated first, followed by signal processing met
hods and decision-making algorithms. In the process, some of the significan
t Korean research will be introduced in some detail, while other research w
ill be described briefly for each category of machining state. (C) 1999 Els
evier Science Ltd. All rights reserved.