An overview of a microcontroller based approach to intelligent machine tool monitoring

This paper presents a milling machine tool cutting process monitoring system based upon microcontroller architecture. The work was undertaken to explore the degree of autonomous intelligent decision making that such an approach can support. It is based upon the embedding of a number of linked algorithms within a microcontroller architecture. The practical implementation and results of the dynamic digital filtering algorithms thus employed are presented and consideration is given to how their outputs can be combined to provide high level process monitoring functions. The same technique can be used for monitoring applications for processes that depend upon health monitoring functions requiring simultaneous multiple parameter analysis