A new approach for systematic design of condition monitoring systems for milling processes

This paper outlines an approach, termed ASPS (automated sensory and signal processing selection system), aimed at aiding the systematic design of condition monitoring systems for machine tools and machining operations. The work is based on utilising Taguchi's orthogonal arrays to design an experimental programme for investigating the number and type of sensors and signal processing methods most appropriate for the detection of fault conditions for milling processes. Cutting tool condition is selected in this work as an application of the proposed approach. The goal is to reduce the number of sensors needed to detect cutter deterioration and reduce the cost and time required for developing and optimising the design of the condition monitoring system for machining operations. (C) 2000 Elsevier Science B.V. All rights reserved.