ABSTRACT
This paper reports on a hybrid approach, utilising controller signals and key sensor signals, as developed by the condition monitoring research group at Cardiff University. Petri Net models provide the monitoring and tracking of such inputs. Research, originally focussed on machine tool condition monitoring, and currently applied to a range of machines and processes, whose sequence is controlled, for example, by a Programmable Logic Controller (PLC) or Computer Numeric Controller (CNC), is reported. The paper further reports on technology advances that will facilitate the implementation of such condition monitoring philosophies, and that will accommodate the trend toward remote monitoring requirements.
