AN INTEGRATED SYSTEM FOR AUTOMATIC WEAR PARTICLE ANALYSIS

The knowledge-based software system CASPA (computer aided systematic p article analysis), developed previously to help classify wear particle s in terms of wear mode, has been updated and recoded for the MS Windo ws operating system. A similar change has been made to CAVE (computer aided vision engineering), a computer vision system which has been ext ended to analyse wear particle morphology automatically, in accordance with the attributes defined in CASPA, and using neural networks for c lassifications. These two systems are now linked, using Windows techno logy, with CASPA controlling the wear analysis, and using CAVE to carr y out automatic analysis on single particles. (C) 1997 Elsevier Scienc e S.A.