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

Authors:
Raees Siddiqui;Roger Grosvenor;Paul Prickett
Affiliations:
The Intelligent Process Monitoring and Management Centre, Cardiff School of Engineering, Cardiff, UK;The Intelligent Process Monitoring and Management Centre, Cardiff School of Engineering, Cardiff, UK;The Intelligent Process Monitoring and Management Centre, Cardiff School of Engineering, Cardiff, UK
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

Citing 1
Cited 0

Time-Constrained Failure Diagnosis in Distributed Embedded Systems: Application to Actuator Diagnosis

IEEE Transactions on Parallel and Distributed Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.