Microscopic wear particles transported by the lubricant from wear site
s carry with them important information relating to the condition of m
achinery. Quantitative methods for determining the morphological attri
butes of particles have been established in terms of their size, shape
, and surface texture. This paper reviews some of the developments tha
t have taken place and describes the stages involved in processing the
particles, including the use of a neural network system to classify p
articles in relation to different wear regimes. The development of a n
ew interactive control system, CAVE, is described which is utilized in
conjunction with image processing procedures. It is designed for use
by researchers engaged in the study of wear processes and also for eng
ineers involved in routine monitoring of wear processes in operating m
achinery.